From 4a9775863e8fab37c2f44b403348880122a88194 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Mon, 24 Nov 2025 23:43:32 -0700
Subject: [PATCH 01/22] core version

# Conflicts:
#	mcp_server/pyproject.toml
#	mcp_server/uv.lock
#	pyproject.toml
#	uv.lock

diff --git c/mcp_server/pyproject.toml i/mcp_server/pyproject.toml
index 886b6f9..499d72a 100644
--- c/mcp_server/pyproject.toml
+++ i/mcp_server/pyproject.toml
@@ -7,7 +7,7 @@ requires-python = ">=3.10,<4"
 dependencies = [
     "mcp>=1.9.4",
     "openai>=1.91.0",
-    "graphiti-core[falkordb]==0.26.3",
+    "graphiti-core[falkordb,neptune]==0.26.3",
     "pydantic-settings>=2.0.0",
     "pyyaml>=6.0",
     "typing-extensions>=4.0.0",
diff --git c/mcp_server/uv.lock i/mcp_server/uv.lock
index 87c8651..0a689a0 100644
--- c/mcp_server/uv.lock
+++ i/mcp_server/uv.lock
@@ -718,7 +718,7 @@ wheels = [
 [[package]]
 name = "graphiti-core"
 version = "0.26.3"
-source = { registry = "https://pypi.org/simple" }
+source = { editable = "../" }
 dependencies = [
     { name = "diskcache" },
     { name = "neo4j" },
---
 mcp_server/pyproject.toml | 2 +-
 mcp_server/uv.lock        | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/mcp_server/pyproject.toml b/mcp_server/pyproject.toml
index 886b6f903..499d72a64 100644
--- a/mcp_server/pyproject.toml
+++ b/mcp_server/pyproject.toml
@@ -7,7 +7,7 @@ requires-python = ">=3.10,<4"
 dependencies = [
     "mcp>=1.9.4",
     "openai>=1.91.0",
-    "graphiti-core[falkordb]==0.26.3",
+    "graphiti-core[falkordb,neptune]==0.26.3",
     "pydantic-settings>=2.0.0",
     "pyyaml>=6.0",
     "typing-extensions>=4.0.0",
diff --git a/mcp_server/uv.lock b/mcp_server/uv.lock
index 87c86514a..0a689a0aa 100644
--- a/mcp_server/uv.lock
+++ b/mcp_server/uv.lock
@@ -718,7 +718,7 @@ wheels = [
 [[package]]
 name = "graphiti-core"
 version = "0.26.3"
-source = { registry = "https://pypi.org/simple" }
+source = { editable = "../" }
 dependencies = [
     { name = "diskcache" },
     { name = "neo4j" },

From 01d211680b37bd92745959de41ef37328ee6bf76 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Tue, 25 Nov 2025 08:45:59 -0700
Subject: [PATCH 02/22] mcp schema updates

---
 mcp_server/pyproject.toml                |  2 +-
 mcp_server/src/config/schema.py          | 23 +++++++
 mcp_server/src/graphiti_mcp_server.py    | 78 ++++++++++++++++++++----
 mcp_server/src/services/queue_service.py | 55 ++++++++++++++++-
 mcp_server/uv.lock                       |  2 +-
 5 files changed, 146 insertions(+), 14 deletions(-)

diff --git a/mcp_server/pyproject.toml b/mcp_server/pyproject.toml
index 499d72a64..ee8f01b5b 100644
--- a/mcp_server/pyproject.toml
+++ b/mcp_server/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "mcp-server"
-version = "1.0.2"
+version = "1.0.3"
 description = "Graphiti MCP Server"
 readme = "README.md"
 requires-python = ">=3.10,<4"
diff --git a/mcp_server/src/config/schema.py b/mcp_server/src/config/schema.py
index aa33c0663..1e0bd5352 100644
--- a/mcp_server/src/config/schema.py
+++ b/mcp_server/src/config/schema.py
@@ -263,6 +263,21 @@ class EntityTypeConfig(BaseModel):
     description: str
 
 
+class EdgeTypeConfig(BaseModel):
+    """Edge type configuration for relationship classification."""
+
+    name: str
+    description: str
+    source_entity_types: list[str] = Field(
+        default_factory=lambda: ['Entity'],
+        description='List of source entity type names this edge can connect from',
+    )
+    target_entity_types: list[str] = Field(
+        default_factory=lambda: ['Entity'],
+        description='List of target entity type names this edge can connect to',
+    )
+
+
 class GraphitiAppConfig(BaseModel):
     """Graphiti-specific configuration."""
 
@@ -270,6 +285,14 @@ class GraphitiAppConfig(BaseModel):
     episode_id_prefix: str | None = Field(default='', description='Episode ID prefix')
     user_id: str = Field(default='mcp_user', description='User ID')
     entity_types: list[EntityTypeConfig] = Field(default_factory=list)
+    edge_types: list[EdgeTypeConfig] = Field(
+        default_factory=list,
+        description='Custom edge types for relationship classification',
+    )
+    use_default_entity_types: bool = Field(
+        default=True,
+        description='Whether to use built-in entity types from entity_types.py',
+    )
 
     def model_post_init(self, __context) -> None:
         """Convert None to empty string for episode_id_prefix."""
diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index 177b09ade..b6cfce3f3 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -166,7 +166,9 @@ def __init__(self, config: GraphitiConfig, semaphore_limit: int = 10):
         self.semaphore_limit = semaphore_limit
         self.semaphore = asyncio.Semaphore(semaphore_limit)
         self.client: Graphiti | None = None
-        self.entity_types = None
+        self.entity_types: dict[str, type[BaseModel]] | None = None
+        self.edge_types: dict[str, type[BaseModel]] | None = None
+        self.edge_type_map: dict[tuple[str, str], list[str]] | None = None
 
     async def initialize(self) -> None:
         """Initialize the Graphiti client with factory-created components."""
@@ -190,13 +192,20 @@ async def initialize(self) -> None:
             # Get database configuration
             db_config = DatabaseDriverFactory.create_config(self.config.database)
 
-            # Build entity types from configuration
-            custom_types = None
+            # Build entity types - use built-in types by default, merge with config overrides
+            custom_types: dict[str, type[BaseModel]] = {}
+
+            # Use built-in entity types from entity_types.py if enabled (default: True)
+            if self.config.graphiti.use_default_entity_types:
+                from mcp_server.src.models.entity_types import ENTITY_TYPES
+
+                custom_types.update(ENTITY_TYPES)
+                logger.info(f'Loaded {len(ENTITY_TYPES)} built-in entity types')
+
+            # Add/override with config-defined entity types
             if self.config.graphiti.entity_types:
-                custom_types = {}
                 for entity_type in self.config.graphiti.entity_types:
                     # Create a dynamic Pydantic model for each entity type
-                    # Note: Don't use 'name' as it's a protected Pydantic attribute
                     entity_model = type(
                         entity_type.name,
                         (BaseModel,),
@@ -205,9 +214,41 @@ async def initialize(self) -> None:
                         },
                     )
                     custom_types[entity_type.name] = entity_model
+                logger.info(
+                    f'Added {len(self.config.graphiti.entity_types)} config-defined entity types'
+                )
 
             # Store entity types for later use
-            self.entity_types = custom_types
+            self.entity_types = custom_types if custom_types else None
+
+            # Build edge types from configuration
+            edge_types: dict[str, type[BaseModel]] = {}
+            edge_type_map: dict[tuple[str, str], list[str]] = {}
+
+            if self.config.graphiti.edge_types:
+                for edge_type_config in self.config.graphiti.edge_types:
+                    # Create a dynamic Pydantic model for each edge type
+                    edge_model = type(
+                        edge_type_config.name,
+                        (BaseModel,),
+                        {
+                            '__doc__': edge_type_config.description,
+                        },
+                    )
+                    edge_types[edge_type_config.name] = edge_model
+
+                    # Build edge_type_map: (source_type, target_type) -> [edge_type_names]
+                    for source_type in edge_type_config.source_entity_types:
+                        for target_type in edge_type_config.target_entity_types:
+                            key = (source_type, target_type)
+                            if key not in edge_type_map:
+                                edge_type_map[key] = []
+                            edge_type_map[key].append(edge_type_config.name)
+
+                logger.info(f'Loaded {len(edge_types)} edge types with type mappings')
+
+            self.edge_types = edge_types if edge_types else None
+            self.edge_type_map = edge_type_map if edge_type_map else None
 
             # Initialize Graphiti client with appropriate driver
             try:
@@ -334,9 +375,15 @@ async def initialize(self) -> None:
 
             if self.entity_types:
                 entity_type_names = list(self.entity_types.keys())
-                logger.info(f'Using custom entity types: {", ".join(entity_type_names)}')
+                logger.info(f'Using entity types: {", ".join(entity_type_names)}')
+            else:
+                logger.info('No custom entity types configured')
+
+            if self.edge_types:
+                edge_type_names = list(self.edge_types.keys())
+                logger.info(f'Using edge types: {", ".join(edge_type_names)}')
             else:
-                logger.info('Using default entity types')
+                logger.info('No custom edge types configured - using default RELATES_TO')
 
             logger.info(f'Using database: {self.config.database.provider}')
             logger.info(f'Using group_id: {self.config.graphiti.group_id}')
@@ -362,6 +409,7 @@ async def add_memory(
     source: str = 'text',
     source_description: str = '',
     uuid: str | None = None,
+    update_communities: bool = False,
 ) -> SuccessResponse | ErrorResponse:
     """Add an episode to memory. This is the primary way to add information to the graph.
 
@@ -381,6 +429,10 @@ async def add_memory(
                                - 'message': For conversation-style content
         source_description (str, optional): Description of the source
         uuid (str, optional): Optional UUID for the episode
+        update_communities (bool, optional): Whether to update community nodes after processing.
+                                            Community nodes enable graph summarization and community-based search.
+                                            Defaults to False for performance, but recommended for building
+                                            connected knowledge graphs.
 
     Examples:
         # Adding plain text content
@@ -392,13 +444,15 @@ async def add_memory(
             group_id="some_arbitrary_string"
         )
 
-        # Adding structured JSON data
+        # Adding structured JSON data with community updates
         # NOTE: episode_body should be a JSON string (standard JSON escaping)
+        # For JSON source, reference_time is automatically extracted from common timestamp fields
         add_memory(
             name="Customer Profile",
-            episode_body='{"company": {"name": "Acme Technologies"}, "products": [{"id": "P001", "name": "CloudSync"}, {"id": "P002", "name": "DataMiner"}]}',
+            episode_body='{"company": {"name": "Acme Technologies"}, "reference_time": "2025-01-15T10:30:00Z", "products": [{"id": "P001", "name": "CloudSync"}]}',
             source="json",
-            source_description="CRM data"
+            source_description="CRM data",
+            update_communities=True
         )
     """
     global graphiti_service, queue_service
@@ -429,6 +483,8 @@ async def add_memory(
             episode_type=episode_type,
             entity_types=graphiti_service.entity_types,
             uuid=uuid or None,  # Ensure None is passed if uuid is None
+            update_communities=update_communities,
+            edge_types=graphiti_service.edge_types,
         )
 
         return SuccessResponse(
diff --git a/mcp_server/src/services/queue_service.py b/mcp_server/src/services/queue_service.py
index 4c4f85303..182794273 100644
--- a/mcp_server/src/services/queue_service.py
+++ b/mcp_server/src/services/queue_service.py
@@ -1,11 +1,14 @@
 """Queue service for managing episode processing."""
 
 import asyncio
+import json
 import logging
 from collections.abc import Awaitable, Callable
 from datetime import datetime, timezone
 from typing import Any
 
+from graphiti_core.utils.datetime_utils import ensure_utc
+
 logger = logging.getLogger(__name__)
 
 
@@ -98,6 +101,36 @@ async def initialize(self, graphiti_client: Any) -> None:
         self._graphiti_client = graphiti_client
         logger.info('Queue service initialized with graphiti client')
 
+    def _extract_reference_time_from_json(self, content: str) -> datetime | None:
+        """Extract reference_time from JSON content if available.
+
+        Args:
+            content: The episode content (potentially JSON)
+
+        Returns:
+            Extracted datetime or None if not found/invalid
+        """
+        try:
+            data = json.loads(content)
+            if isinstance(data, dict):
+                # Check common timestamp field names
+                for field in ['reference_time', 'timestamp', 'created_at', 'message_ts', 'time']:
+                    if field in data:
+                        ts_value = data[field]
+                        if isinstance(ts_value, str):
+                            try:
+                                # Handle ISO format with Z suffix
+                                dt = datetime.fromisoformat(ts_value.replace('Z', '+00:00'))
+                                return ensure_utc(dt)
+                            except ValueError:
+                                continue
+                        elif isinstance(ts_value, int | float):
+                            # Unix timestamp
+                            return datetime.fromtimestamp(ts_value, tz=timezone.utc)
+        except (json.JSONDecodeError, TypeError, ValueError):
+            pass
+        return None
+
     async def add_episode(
         self,
         group_id: str,
@@ -107,6 +140,9 @@ async def add_episode(
         episode_type: Any,
         entity_types: Any,
         uuid: str | None,
+        update_communities: bool = False,
+        reference_time: datetime | None = None,
+        edge_types: dict[str, Any] | None = None,
     ) -> int:
         """Add an episode for processing.
 
@@ -118,6 +154,9 @@ async def add_episode(
             episode_type: Type of the episode
             entity_types: Entity types for extraction
             uuid: Episode UUID
+            update_communities: Whether to update community nodes after processing
+            reference_time: Optional reference time for the episode (extracted from content for JSON)
+            edge_types: Optional edge type definitions for relationship classification
 
         Returns:
             The position in the queue
@@ -125,6 +164,18 @@ async def add_episode(
         if self._graphiti_client is None:
             raise RuntimeError('Queue service not initialized. Call initialize() first.')
 
+        # Determine reference time: use provided, extract from JSON content, or use current time
+        effective_reference_time = reference_time
+        if effective_reference_time is None:
+            # Try to extract from JSON content
+            from graphiti_core.models.episodes.episode_type import EpisodeType
+
+            if episode_type == EpisodeType.json:
+                effective_reference_time = self._extract_reference_time_from_json(content)
+
+        if effective_reference_time is None:
+            effective_reference_time = datetime.now(timezone.utc)
+
         async def process_episode():
             """Process the episode using the graphiti client."""
             try:
@@ -137,9 +188,11 @@ async def process_episode():
                     source_description=source_description,
                     source=episode_type,
                     group_id=group_id,
-                    reference_time=datetime.now(timezone.utc),
+                    reference_time=effective_reference_time,
                     entity_types=entity_types,
                     uuid=uuid,
+                    update_communities=update_communities,
+                    edge_types=edge_types,
                 )
 
                 logger.info(f'Successfully processed episode {uuid} for group {group_id}')
diff --git a/mcp_server/uv.lock b/mcp_server/uv.lock
index 0a689a0aa..fb1754d4f 100644
--- a/mcp_server/uv.lock
+++ b/mcp_server/uv.lock
@@ -1266,7 +1266,7 @@ wheels = [
 
 [[package]]
 name = "mcp-server"
-version = "1.0.2"
+version = "1.0.3"
 source = { virtual = "." }
 dependencies = [
     { name = "graphiti-core", extra = ["falkordb", "neptune"] },

From 6f17ed558ca35c49f516afd9ac83c1aea3b8d52d Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Tue, 25 Nov 2025 08:47:00 -0700
Subject: [PATCH 03/22] dockerfile version

---
 mcp_server/docker/Dockerfile            | 2 +-
 mcp_server/docker/Dockerfile.standalone | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/mcp_server/docker/Dockerfile b/mcp_server/docker/Dockerfile
index 89c58b099..b8bab6025 100644
--- a/mcp_server/docker/Dockerfile
+++ b/mcp_server/docker/Dockerfile
@@ -113,7 +113,7 @@ EOF
 RUN chmod +x /start-services.sh
 
 # Add Docker labels with version information
-ARG MCP_SERVER_VERSION=1.0.2
+ARG MCP_SERVER_VERSION=1.0.3
 ARG BUILD_DATE
 ARG VCS_REF
 LABEL org.opencontainers.image.title="FalkorDB + Graphiti MCP Server" \
diff --git a/mcp_server/docker/Dockerfile.standalone b/mcp_server/docker/Dockerfile.standalone
index 8327f1054..331853751 100644
--- a/mcp_server/docker/Dockerfile.standalone
+++ b/mcp_server/docker/Dockerfile.standalone
@@ -58,7 +58,7 @@ COPY config/ ./config/
 RUN mkdir -p /var/log/graphiti
 
 # Add Docker labels with version information
-ARG MCP_SERVER_VERSION=1.0.2
+ARG MCP_SERVER_VERSION=1.0.3
 ARG BUILD_DATE
 ARG VCS_REF
 LABEL org.opencontainers.image.title="Graphiti MCP Server (Standalone)" \

From 587027e4504f2f9e85f70c53b58f5326535042b5 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Tue, 25 Nov 2025 09:01:27 -0700
Subject: [PATCH 04/22] import fix

---
 mcp_server/src/graphiti_mcp_server.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index b6cfce3f3..2b9a855c4 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -197,7 +197,7 @@ async def initialize(self) -> None:
 
             # Use built-in entity types from entity_types.py if enabled (default: True)
             if self.config.graphiti.use_default_entity_types:
-                from mcp_server.src.models.entity_types import ENTITY_TYPES
+                from models.entity_types import ENTITY_TYPES
 
                 custom_types.update(ENTITY_TYPES)
                 logger.info(f'Loaded {len(ENTITY_TYPES)} built-in entity types')

From 7a99052caf09eae5e35673412a7fb5ffa1e56541 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Tue, 25 Nov 2025 09:09:59 -0700
Subject: [PATCH 05/22] import fix

---
 mcp_server/src/services/queue_service.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mcp_server/src/services/queue_service.py b/mcp_server/src/services/queue_service.py
index 182794273..8417140c8 100644
--- a/mcp_server/src/services/queue_service.py
+++ b/mcp_server/src/services/queue_service.py
@@ -168,7 +168,7 @@ async def add_episode(
         effective_reference_time = reference_time
         if effective_reference_time is None:
             # Try to extract from JSON content
-            from graphiti_core.models.episodes.episode_type import EpisodeType
+            from graphiti_core.nodes import EpisodeType
 
             if episode_type == EpisodeType.json:
                 effective_reference_time = self._extract_reference_time_from_json(content)

From d085e31d7631b1741b2dd1eb390f441c67786f90 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Sat, 13 Dec 2025 15:54:36 -0800
Subject: [PATCH 06/22] query fix

---
 graphiti_core/driver/neptune_driver.py        |  9 +++-
 graphiti_core/models/edges/edge_db_queries.py | 28 ++++++++++---
 graphiti_core/models/nodes/node_db_queries.py | 19 ++++++---
 graphiti_core/search/search_utils.py          | 42 ++++++++++++++++---
 4 files changed, 80 insertions(+), 18 deletions(-)

diff --git a/graphiti_core/driver/neptune_driver.py b/graphiti_core/driver/neptune_driver.py
index 8d8a871df..0a57ab35e 100644
--- a/graphiti_core/driver/neptune_driver.py
+++ b/graphiti_core/driver/neptune_driver.py
@@ -180,6 +180,10 @@ def __init__(self, host: str, aoss_host: str, port: int = 8182, aoss_port: int =
         aoss_hostname = aoss_host.replace('https://', '').replace('http://', '')
 
         session = boto3.Session()
+
+        # Configure OpenSearch client with retry and timeout settings
+        # AWS OpenSearch Serverless has aggressive connection limits and may close
+        # connections prematurely. These settings help handle transient failures.
         self.aoss_client = OpenSearch(
             hosts=[{'host': aoss_hostname, 'port': aoss_port}],
             http_auth=Urllib3AWSV4SignerAuth(
@@ -188,7 +192,10 @@ def __init__(self, host: str, aoss_host: str, port: int = 8182, aoss_port: int =
             use_ssl=True,
             verify_certs=True,
             connection_class=Urllib3HttpConnection,
-            pool_maxsize=20,
+            pool_maxsize=10,  # Reduced from 20 to avoid overwhelming AOSS connection limits
+            timeout=30,  # 30 second timeout to prevent hanging connections
+            max_retries=5,  # Enable retry logic with exponential backoff
+            retry_on_timeout=True,  # Retry when timeout occurs
         )
 
     def _sanitize_parameters(self, query, params: dict):
diff --git a/graphiti_core/models/edges/edge_db_queries.py b/graphiti_core/models/edges/edge_db_queries.py
index f44e84505..f7382a429 100644
--- a/graphiti_core/models/edges/edge_db_queries.py
+++ b/graphiti_core/models/edges/edge_db_queries.py
@@ -76,9 +76,17 @@ def get_entity_edge_save_query(provider: GraphProvider, has_aoss: bool = False)
                 MATCH (source:Entity {uuid: $edge_data.source_uuid})
                 MATCH (target:Entity {uuid: $edge_data.target_uuid})
                 MERGE (source)-[e:RELATES_TO {uuid: $edge_data.uuid}]->(target)
-                SET e = removeKeyFromMap(removeKeyFromMap($edge_data, "fact_embedding"), "episodes")
-                SET e.fact_embedding = join([x IN coalesce($edge_data.fact_embedding, []) | toString(x) ], ",")
-                SET e.episodes = join($edge_data.episodes, ",")
+                SET e.group_id = $edge_data.group_id,
+                    e.source_node_uuid = $edge_data.source_uuid,
+                    e.target_node_uuid = $edge_data.target_uuid,
+                    e.created_at = $edge_data.created_at,
+                    e.name = $edge_data.name,
+                    e.fact = $edge_data.fact,
+                    e.expired_at = $edge_data.expired_at,
+                    e.valid_at = $edge_data.valid_at,
+                    e.invalid_at = $edge_data.invalid_at,
+                    e.fact_embedding = join([x IN coalesce($edge_data.fact_embedding, []) | toString(x) ], ","),
+                    e.episodes = join($edge_data.episodes, ",")
                 RETURN $edge_data.uuid AS uuid
             """
         case GraphProvider.KUZU:
@@ -140,9 +148,17 @@ def get_entity_edge_save_bulk_query(provider: GraphProvider, has_aoss: bool = Fa
                 MATCH (source:Entity {uuid: edge.source_node_uuid})
                 MATCH (target:Entity {uuid: edge.target_node_uuid})
                 MERGE (source)-[r:RELATES_TO {uuid: edge.uuid}]->(target)
-                SET r = removeKeyFromMap(removeKeyFromMap(edge, "fact_embedding"), "episodes")
-                SET r.fact_embedding = join([x IN coalesce(edge.fact_embedding, []) | toString(x) ], ",")
-                SET r.episodes = join(edge.episodes, ",")
+                SET r.group_id = edge.group_id,
+                    r.source_node_uuid = edge.source_node_uuid,
+                    r.target_node_uuid = edge.target_node_uuid,
+                    r.created_at = edge.created_at,
+                    r.name = edge.name,
+                    r.fact = edge.fact,
+                    r.expired_at = edge.expired_at,
+                    r.valid_at = edge.valid_at,
+                    r.invalid_at = edge.invalid_at,
+                    r.fact_embedding = join([x IN coalesce(edge.fact_embedding, []) | toString(x) ], ","),
+                    r.episodes = join(edge.episodes, ",")
                 RETURN edge.uuid AS uuid
             """
         case GraphProvider.KUZU:
diff --git a/graphiti_core/models/nodes/node_db_queries.py b/graphiti_core/models/nodes/node_db_queries.py
index e27c9253e..db3c78e05 100644
--- a/graphiti_core/models/nodes/node_db_queries.py
+++ b/graphiti_core/models/nodes/node_db_queries.py
@@ -122,7 +122,10 @@ def get_episode_node_save_bulk_query(provider: GraphProvider) -> str:
     e.group_id AS group_id,
     e.source_description AS source_description,
     e.source AS source,
-    split(e.entity_edges, "|") AS entity_edges
+    CASE WHEN e.entity_edges IS NULL OR e.entity_edges = ''
+         THEN []
+         ELSE split(e.entity_edges, "|")
+    END AS entity_edges
 """
 
 
@@ -157,8 +160,11 @@ def get_entity_node_save_query(provider: GraphProvider, labels: str, has_aoss: b
             return f"""
                 MERGE (n:Entity {{uuid: $entity_data.uuid}})
                 {label_subquery}
-                SET n = removeKeyFromMap(removeKeyFromMap($entity_data, "labels"), "name_embedding")
-                SET n.name_embedding = join([x IN coalesce($entity_data.name_embedding, []) | toString(x) ], ",")
+                SET n.name = $entity_data.name,
+                    n.group_id = $entity_data.group_id,
+                    n.created_at = $entity_data.created_at,
+                    n.summary = $entity_data.summary,
+                    n.name_embedding = join([x IN coalesce($entity_data.name_embedding, []) | toString(x) ], ",")
                 RETURN n.uuid AS uuid
             """
         case _:
@@ -214,8 +220,11 @@ def get_entity_node_save_bulk_query(
                         UNWIND $nodes AS node
                         MERGE (n:Entity {{uuid: node.uuid}})
                         {labels}
-                        SET n = removeKeyFromMap(removeKeyFromMap(node, "labels"), "name_embedding")
-                        SET n.name_embedding = join([x IN coalesce(node.name_embedding, []) | toString(x) ], ",")
+                        SET n.name = node.name,
+                            n.group_id = node.group_id,
+                            n.created_at = node.created_at,
+                            n.summary = node.summary,
+                            n.name_embedding = join([x IN coalesce(node.name_embedding, []) | toString(x) ], ",")
                         RETURN n.uuid AS uuid
                     """
                 )
diff --git a/graphiti_core/search/search_utils.py b/graphiti_core/search/search_utils.py
index 050d4ce12..2214aadef 100644
--- a/graphiti_core/search/search_utils.py
+++ b/graphiti_core/search/search_utils.py
@@ -246,7 +246,7 @@ async def edge_fulltext_search(
                     e.created_at AS created_at,
                     e.name AS name,
                     e.fact AS fact,
-                    split(e.episodes, ",") AS episodes,
+                    CASE WHEN e.episodes IS NULL OR e.episodes = '' THEN [] ELSE split(e.episodes, ",") END AS episodes,
                     e.expired_at AS expired_at,
                     e.valid_at AS valid_at,
                     e.invalid_at AS invalid_at,
@@ -349,6 +349,10 @@ async def edge_similarity_search(
         search_vector_var = f'CAST($search_vector AS FLOAT[{len(search_vector)}])'
 
     if driver.provider == GraphProvider.NEPTUNE:
+        # Apply limit to prevent memory exhaustion when fetching embeddings
+        # Use a larger multiplier to ensure we have enough candidates for filtering
+        batch_limit = limit * 10
+
         query = (
             """
                             MATCH (n:Entity)-[e:RELATES_TO]->(m:Entity)
@@ -356,6 +360,7 @@ async def edge_similarity_search(
             + filter_query
             + """
             RETURN DISTINCT id(e) as id, e.fact_embedding as embedding
+            LIMIT $batch_limit
             """
         )
         resp, header, _ = await driver.execute_query(
@@ -363,6 +368,7 @@ async def edge_similarity_search(
             search_vector=search_vector,
             limit=limit,
             min_score=min_score,
+            batch_limit=batch_limit,
             routing_='r',
             **filter_params,
         )
@@ -533,7 +539,7 @@ async def edge_bfs_search(
                     e.created_at AS created_at,
                     e.name AS name,
                     e.fact AS fact,
-                    split(e.episodes, ',') AS episodes,
+                    CASE WHEN e.episodes IS NULL OR e.episodes = '' THEN [] ELSE split(e.episodes, ',') END AS episodes,
                     e.expired_at AS expired_at,
                     e.valid_at AS valid_at,
                     e.invalid_at AS invalid_at,
@@ -696,6 +702,10 @@ async def node_similarity_search(
         search_vector_var = f'CAST($search_vector AS FLOAT[{len(search_vector)}])'
 
     if driver.provider == GraphProvider.NEPTUNE:
+        # Apply limit to prevent memory exhaustion when fetching embeddings
+        # Use a larger multiplier to ensure we have enough candidates for filtering
+        batch_limit = limit * 10
+
         query = (
             """
                                                                                                                                     MATCH (n:Entity)
@@ -703,6 +713,7 @@ async def node_similarity_search(
             + filter_query
             + """
             RETURN DISTINCT id(n) as id, n.name_embedding as embedding
+            LIMIT $batch_limit
             """
         )
         resp, header, _ = await driver.execute_query(
@@ -711,6 +722,7 @@ async def node_similarity_search(
             search_vector=search_vector,
             limit=limit,
             min_score=min_score,
+            batch_limit=batch_limit,
             routing_='r',
         )
 
@@ -1079,6 +1091,10 @@ async def community_similarity_search(
         query_params['group_ids'] = group_ids
 
     if driver.provider == GraphProvider.NEPTUNE:
+        # Apply limit to prevent memory exhaustion when fetching embeddings
+        # Use a larger multiplier to ensure we have enough candidates for filtering
+        batch_limit = limit * 10
+
         query = (
             """
                                                                                                                                     MATCH (n:Community)
@@ -1086,6 +1102,7 @@ async def community_similarity_search(
             + group_filter_query
             + """
             RETURN DISTINCT id(n) as id, n.name_embedding as embedding
+            LIMIT $batch_limit
             """
         )
         resp, header, _ = await driver.execute_query(
@@ -1093,6 +1110,7 @@ async def community_similarity_search(
             search_vector=search_vector,
             limit=limit,
             min_score=min_score,
+            batch_limit=batch_limit,
             routing_='r',
             **query_params,
         )
@@ -1420,6 +1438,10 @@ async def get_relevant_edges(
         filter_query = ' WHERE ' + (' AND '.join(filter_queries))
 
     if driver.provider == GraphProvider.NEPTUNE:
+        # Apply limit to prevent memory exhaustion when fetching embeddings
+        # Limit results per edge to prevent memory issues with many matching edges
+        batch_limit = limit * 10
+
         query = (
             """
                                                                                                                                     UNWIND $edges AS edge
@@ -1430,6 +1452,7 @@ async def get_relevant_edges(
             WITH e, edge
             RETURN DISTINCT id(e) as id, e.fact_embedding as source_embedding, edge.uuid as search_edge_uuid,
             edge.fact_embedding as target_embedding
+            LIMIT $batch_limit
             """
         )
         resp, _, _ = await driver.execute_query(
@@ -1437,6 +1460,7 @@ async def get_relevant_edges(
             edges=[edge.model_dump() for edge in edges],
             limit=limit,
             min_score=min_score,
+            batch_limit=batch_limit,
             routing_='r',
             **filter_params,
         )
@@ -1466,8 +1490,8 @@ async def get_relevant_edges(
                 name: e.name,
                 group_id: e.group_id,
                 fact: e.fact,
-                fact_embedding: [x IN split(e.fact_embedding, ",") | toFloat(x)],
-                episodes: split(e.episodes, ","),
+                fact_embedding: CASE WHEN e.fact_embedding IS NULL OR e.fact_embedding = '' THEN [] ELSE [x IN split(e.fact_embedding, ",") | toFloat(x)] END,
+                episodes: CASE WHEN e.episodes IS NULL OR e.episodes = '' THEN [] ELSE split(e.episodes, ",") END,
                 expired_at: e.expired_at,
                 valid_at: e.valid_at,
                 invalid_at: e.invalid_at,
@@ -1605,6 +1629,10 @@ async def get_edge_invalidation_candidates(
         filter_query = ' AND ' + (' AND '.join(filter_queries))
 
     if driver.provider == GraphProvider.NEPTUNE:
+        # Apply limit to prevent memory exhaustion when fetching embeddings
+        # Limit results per edge to prevent memory issues with many matching edges
+        batch_limit = limit * 10
+
         query = (
             """
                                                                                                                                     UNWIND $edges AS edge
@@ -1617,6 +1645,7 @@ async def get_edge_invalidation_candidates(
             RETURN DISTINCT id(e) as id, e.fact_embedding as source_embedding,
             edge.fact_embedding as target_embedding,
             edge.uuid as search_edge_uuid
+            LIMIT $batch_limit
             """
         )
         resp, _, _ = await driver.execute_query(
@@ -1624,6 +1653,7 @@ async def get_edge_invalidation_candidates(
             edges=[edge.model_dump() for edge in edges],
             limit=limit,
             min_score=min_score,
+            batch_limit=batch_limit,
             routing_='r',
             **filter_params,
         )
@@ -1653,8 +1683,8 @@ async def get_edge_invalidation_candidates(
                 name: e.name,
                 group_id: e.group_id,
                 fact: e.fact,
-                fact_embedding: [x IN split(e.fact_embedding, ",") | toFloat(x)],
-                episodes: split(e.episodes, ","),
+                fact_embedding: CASE WHEN e.fact_embedding IS NULL OR e.fact_embedding = '' THEN [] ELSE [x IN split(e.fact_embedding, ",") | toFloat(x)] END,
+                episodes: CASE WHEN e.episodes IS NULL OR e.episodes = '' THEN [] ELSE split(e.episodes, ",") END,
                 expired_at: e.expired_at,
                 valid_at: e.valid_at,
                 invalid_at: e.invalid_at,

From 77a3ff9b5a9da4694189eedea90e3531fd8c39bc Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Sat, 13 Dec 2025 16:26:48 -0800
Subject: [PATCH 07/22] host header

---
 mcp_server/config/config-neptune.yaml | 3 +++
 mcp_server/src/config/schema.py       | 6 ++++++
 mcp_server/src/graphiti_mcp_server.py | 3 +++
 3 files changed, 12 insertions(+)

diff --git a/mcp_server/config/config-neptune.yaml b/mcp_server/config/config-neptune.yaml
index 46c264b32..68883f1ad 100644
--- a/mcp_server/config/config-neptune.yaml
+++ b/mcp_server/config/config-neptune.yaml
@@ -5,6 +5,9 @@ server:
   transport: "http"  # HTTP transport (SSE is deprecated)
   host: "0.0.0.0"
   port: 8000
+  # allowed_hosts: ["*"]  # Allow all hosts (default)
+  # For Kubernetes deployments, specify the service name:
+  # allowed_hosts: ["localhost", "your-service.namespace.svc.cluster.local"]
 
 llm:
   provider: "openai"  # Options: openai, azure_openai, anthropic, gemini, groq
diff --git a/mcp_server/src/config/schema.py b/mcp_server/src/config/schema.py
index 1e0bd5352..3d8f00130 100644
--- a/mcp_server/src/config/schema.py
+++ b/mcp_server/src/config/schema.py
@@ -82,6 +82,12 @@ class ServerConfig(BaseModel):
     )
     host: str = Field(default='0.0.0.0', description='Server host')
     port: int = Field(default=8000, description='Server port')
+    allowed_hosts: list[str] = Field(
+        default_factory=lambda: ['*'],
+        description='List of allowed Host header values. Use ["*"] to allow all hosts. '
+        'For Kubernetes deployments, include service names like '
+        '"service-name.namespace.svc.cluster.local"',
+    )
 
 
 class OpenAIProviderConfig(BaseModel):
diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index 2b9a855c4..7b09d5ae7 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -992,6 +992,9 @@ async def initialize_server() -> ServerConfig:
         mcp.settings.host = config.server.host
     if config.server.port:
         mcp.settings.port = config.server.port
+    if config.server.allowed_hosts:
+        mcp.settings.allowed_hosts = config.server.allowed_hosts
+        logger.info(f'Configured allowed hosts: {config.server.allowed_hosts}')
 
     # Return MCP configuration for transport
     return config.server

From e8ee4e705f1c8b4e6567cf48452df939f0ae0f75 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Sat, 13 Dec 2025 16:38:57 -0800
Subject: [PATCH 08/22] Revert "host header"

This reverts commit b9d7dcf03ee19de0081c9b263e23b9cad9630cf4.
---
 mcp_server/config/config-neptune.yaml | 3 ---
 mcp_server/src/config/schema.py       | 6 ------
 mcp_server/src/graphiti_mcp_server.py | 3 ---
 3 files changed, 12 deletions(-)

diff --git a/mcp_server/config/config-neptune.yaml b/mcp_server/config/config-neptune.yaml
index 68883f1ad..46c264b32 100644
--- a/mcp_server/config/config-neptune.yaml
+++ b/mcp_server/config/config-neptune.yaml
@@ -5,9 +5,6 @@ server:
   transport: "http"  # HTTP transport (SSE is deprecated)
   host: "0.0.0.0"
   port: 8000
-  # allowed_hosts: ["*"]  # Allow all hosts (default)
-  # For Kubernetes deployments, specify the service name:
-  # allowed_hosts: ["localhost", "your-service.namespace.svc.cluster.local"]
 
 llm:
   provider: "openai"  # Options: openai, azure_openai, anthropic, gemini, groq
diff --git a/mcp_server/src/config/schema.py b/mcp_server/src/config/schema.py
index 3d8f00130..1e0bd5352 100644
--- a/mcp_server/src/config/schema.py
+++ b/mcp_server/src/config/schema.py
@@ -82,12 +82,6 @@ class ServerConfig(BaseModel):
     )
     host: str = Field(default='0.0.0.0', description='Server host')
     port: int = Field(default=8000, description='Server port')
-    allowed_hosts: list[str] = Field(
-        default_factory=lambda: ['*'],
-        description='List of allowed Host header values. Use ["*"] to allow all hosts. '
-        'For Kubernetes deployments, include service names like '
-        '"service-name.namespace.svc.cluster.local"',
-    )
 
 
 class OpenAIProviderConfig(BaseModel):
diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index 7b09d5ae7..2b9a855c4 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -992,9 +992,6 @@ async def initialize_server() -> ServerConfig:
         mcp.settings.host = config.server.host
     if config.server.port:
         mcp.settings.port = config.server.port
-    if config.server.allowed_hosts:
-        mcp.settings.allowed_hosts = config.server.allowed_hosts
-        logger.info(f'Configured allowed hosts: {config.server.allowed_hosts}')
 
     # Return MCP configuration for transport
     return config.server

From 786e0151bad1d8b8810bbffaa7cb119b77053f23 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Sat, 13 Dec 2025 16:53:45 -0800
Subject: [PATCH 09/22] host header

---
 mcp_server/src/graphiti_mcp_server.py | 22 +++++++++++++++++++++-
 1 file changed, 21 insertions(+), 1 deletion(-)

diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index 2b9a855c4..e9702d59c 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -1034,7 +1034,27 @@ async def run_mcp_server():
         # Configure uvicorn logging to match our format
         configure_uvicorn_logging()
 
-        await mcp.run_streamable_http_async()
+        # Wrap the FastMCP app with TrustedHostMiddleware to allow all hosts
+        # This prevents Host header validation issues in Kubernetes environments
+        import uvicorn
+        from starlette.middleware.trustedhost import TrustedHostMiddleware
+
+        # Get the Starlette app from FastMCP
+        app = mcp.streamable_http_app()
+
+        # Wrap with TrustedHostMiddleware configured to allow all hosts
+        wrapped_app = TrustedHostMiddleware(app, allowed_hosts=['*'])
+        logger.info('Host header validation: disabled (allowing all hosts for Kubernetes compatibility)')
+
+        # Run uvicorn directly with the wrapped app
+        config = uvicorn.Config(
+            wrapped_app,
+            host=mcp.settings.host,
+            port=mcp.settings.port,
+            log_config=None,  # Use our custom logging
+        )
+        server = uvicorn.Server(config)
+        await server.serve()
     else:
         raise ValueError(
             f'Unsupported transport: {mcp_config.transport}. Use "sse", "stdio", or "http"'

From 8378cb95d6f805ea5bec259e70332754254fa2bd Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Sat, 13 Dec 2025 17:17:15 -0800
Subject: [PATCH 10/22] host header

---
 mcp_server/src/graphiti_mcp_server.py | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index e9702d59c..1cc72c930 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -1034,17 +1034,22 @@ async def run_mcp_server():
         # Configure uvicorn logging to match our format
         configure_uvicorn_logging()
 
-        # Wrap the FastMCP app with TrustedHostMiddleware to allow all hosts
-        # This prevents Host header validation issues in Kubernetes environments
+        # Get the Starlette app and disable any Host header validation
         import uvicorn
         from starlette.middleware.trustedhost import TrustedHostMiddleware
 
         # Get the Starlette app from FastMCP
         app = mcp.streamable_http_app()
 
-        # Wrap with TrustedHostMiddleware configured to allow all hosts
+        # Disable Host header validation by setting level to CRITICAL to suppress warnings
+        # This prevents Host validation issues in Kubernetes environments
+        host_validator_logger = logging.getLogger('mcp.server.transport_security')
+        host_validator_logger.setLevel(logging.CRITICAL)  # Suppress all warnings
+
+        # Also wrap with TrustedHostMiddleware to allow all hosts as additional protection
         wrapped_app = TrustedHostMiddleware(app, allowed_hosts=['*'])
         logger.info('Host header validation: disabled (allowing all hosts for Kubernetes compatibility)')
+        logger.info('Suppressed mcp.server.transport_security warnings')
 
         # Run uvicorn directly with the wrapped app
         config = uvicorn.Config(

From b46554fade8f17c381b267d98b644c8ebcebb8b1 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Sun, 14 Dec 2025 16:52:01 -0800
Subject: [PATCH 11/22] set static mcp library version

---
 mcp_server/pyproject.toml             |  2 +-
 mcp_server/src/graphiti_mcp_server.py | 27 +--------------------------
 2 files changed, 2 insertions(+), 27 deletions(-)

diff --git a/mcp_server/pyproject.toml b/mcp_server/pyproject.toml
index ee8f01b5b..f4bb1fd1f 100644
--- a/mcp_server/pyproject.toml
+++ b/mcp_server/pyproject.toml
@@ -5,7 +5,7 @@ description = "Graphiti MCP Server"
 readme = "README.md"
 requires-python = ">=3.10,<4"
 dependencies = [
-    "mcp>=1.9.4",
+    "mcp==1.9.4",  # Pinned to avoid DNS rebinding protection in v1.23.0+
     "openai>=1.91.0",
     "graphiti-core[falkordb,neptune]==0.26.3",
     "pydantic-settings>=2.0.0",
diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index 1cc72c930..2b9a855c4 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -1034,32 +1034,7 @@ async def run_mcp_server():
         # Configure uvicorn logging to match our format
         configure_uvicorn_logging()
 
-        # Get the Starlette app and disable any Host header validation
-        import uvicorn
-        from starlette.middleware.trustedhost import TrustedHostMiddleware
-
-        # Get the Starlette app from FastMCP
-        app = mcp.streamable_http_app()
-
-        # Disable Host header validation by setting level to CRITICAL to suppress warnings
-        # This prevents Host validation issues in Kubernetes environments
-        host_validator_logger = logging.getLogger('mcp.server.transport_security')
-        host_validator_logger.setLevel(logging.CRITICAL)  # Suppress all warnings
-
-        # Also wrap with TrustedHostMiddleware to allow all hosts as additional protection
-        wrapped_app = TrustedHostMiddleware(app, allowed_hosts=['*'])
-        logger.info('Host header validation: disabled (allowing all hosts for Kubernetes compatibility)')
-        logger.info('Suppressed mcp.server.transport_security warnings')
-
-        # Run uvicorn directly with the wrapped app
-        config = uvicorn.Config(
-            wrapped_app,
-            host=mcp.settings.host,
-            port=mcp.settings.port,
-            log_config=None,  # Use our custom logging
-        )
-        server = uvicorn.Server(config)
-        await server.serve()
+        await mcp.run_streamable_http_async()
     else:
         raise ValueError(
             f'Unsupported transport: {mcp_config.transport}. Use "sse", "stdio", or "http"'

From 49a292f6097a6df74676d789cf8407261c0d091e Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Mon, 22 Dec 2025 07:41:43 -0700
Subject: [PATCH 12/22] simple fixes
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

diff --git c/graphiti_core/driver/neptune_driver.py i/graphiti_core/driver/neptune_driver.py
index 0a57ab3..9a02037 100644
--- c/graphiti_core/driver/neptune_driver.py
+++ i/graphiti_core/driver/neptune_driver.py
@@ -196,6 +196,7 @@ class NeptuneDriver(GraphDriver):
             timeout=30,  # 30 second timeout to prevent hanging connections
             max_retries=5,  # Enable retry logic with exponential backoff
             retry_on_timeout=True,  # Retry when timeout occurs
+            retry_on_status=[502, 503, 504],  # Retry on gateway errors and service unavailable
         )

     def _sanitize_parameters(self, query, params: dict):
diff --git c/graphiti_core/prompts/dedupe_edges.py i/graphiti_core/prompts/dedupe_edges.py
index c6e4359..8687712 100644
--- c/graphiti_core/prompts/dedupe_edges.py
+++ i/graphiti_core/prompts/dedupe_edges.py
@@ -41,6 +41,12 @@ class Versions(TypedDict):

 def resolve_edge(context: dict[str, Any]) -> list[Message]:
+    existing_facts_count = len(context.get('existing_edges', []))
+    invalidation_candidates_count = len(context.get('edge_invalidation_candidates', []))
+
+    existing_range = f'0 to {existing_facts_count - 1}' if existing_facts_count > 0 else 'none (empty list)'
+    invalidation_range = f'0 to {invalidation_candidates_count - 1}' if invalidation_candidates_count > 0 else 'none (empty list)'
+
     return [
         Message(
             role='system',
@@ -50,16 +56,25 @@ def resolve_edge(context: dict[str, Any]) -> list[Message]:
         Message(
             role='user',
             content=f"""
-        Task:
-        You will receive TWO separate lists of facts. Each list uses 'idx' as its index field, starting from 0.
-
+        You will analyze a NEW FACT against two separate lists of existing facts.
+
+        ═══════════════════════════════════════════════════════════════
+        LIST A: EXISTING FACTS (for duplicate detection)
+        ═══════════════════════════════════════════════════════════════
+        Count: {existing_facts_count} facts
+        Valid idx range: {existing_range}
+
         1. DUPLICATE DETECTION:
            - If the NEW FACT represents identical factual information as any fact in EXISTING FACTS, return those idx values in duplicate_facts.
            - Facts with similar information that contain key differences should NOT be marked as duplicates.
            - Return idx values from EXISTING FACTS.
            - If no duplicates, return an empty list for duplicate_facts.

-        2. CONTRADICTION DETECTION:
+        2. FACT TYPE CLASSIFICATION:
+           - Given the predefined FACT TYPES, determine if the NEW FACT should be classified as one of these types.
+           - Return the fact type as fact_type or DEFAULT if NEW FACT is not one of the FACT TYPES.
+
+        3. CONTRADICTION DETECTION:
            - Based on FACT INVALIDATION CANDIDATES and NEW FACT, determine which facts the new fact contradicts.
            - Return idx values from FACT INVALIDATION CANDIDATES.
            - If no contradictions, return an empty list for contradicted_facts.
@@ -73,17 +88,63 @@ def resolve_edge(context: dict[str, Any]) -> list[Message]:
         1. Some facts may be very similar but will have key differences, particularly around numeric values in the facts.
             Do not mark these facts as duplicates.

+        <FACT TYPES>
+        {context['edge_types']}
+        </FACT TYPES>
+
         <EXISTING FACTS>
         {context['existing_edges']}
-        </EXISTING FACTS>

-        <FACT INVALIDATION CANDIDATES>
+        ═══════════════════════════════════════════════════════════════
+        LIST B: FACT INVALIDATION CANDIDATES (for contradiction detection)
+        ═══════════════════════════════════════════════════════════════
+        Count: {invalidation_candidates_count} facts
+        Valid idx range: {invalidation_range}
+
         {context['edge_invalidation_candidates']}
-        </FACT INVALIDATION CANDIDATES>

-        <NEW FACT>
+        ═══════════════════════════════════════════════════════════════
+        NEW FACT TO ANALYZE
+        ═══════════════════════════════════════════════════════════════
         {context['new_edge']}
-        </NEW FACT>
+
+        ═══════════════════════════════════════════════════════════════
+        FACT TYPES FOR CLASSIFICATION
+        ═══════════════════════════════════════════════════════════════
+        {context['edge_types']}
+
+        ═══════════════════════════════════════════════════════════════
+        YOUR RESPONSE MUST INCLUDE THREE FIELDS
+        ═══════════════════════════════════════════════════════════════
+
+        1. duplicate_facts (list of integers)
+           SOURCE: Use idx values ONLY from LIST A (EXISTING FACTS)
+           VALID RANGE: {existing_range}
+           PURPOSE: Identify which facts in LIST A are duplicates of the NEW FACT
+           CRITERIA: Facts must represent identical factual information (minor wording differences OK)
+           NOTE: Facts with key differences (especially numeric values) are NOT duplicates
+           IF NO DUPLICATES: Return empty list []
+
+        2. contradicted_facts (list of integers)
+           SOURCE: Use idx values ONLY from LIST B (FACT INVALIDATION CANDIDATES)
+           VALID RANGE: {invalidation_range}
+           PURPOSE: Identify which facts in LIST B are contradicted by the NEW FACT
+           CRITERIA: Facts that are logically incompatible with the NEW FACT
+           IF NO CONTRADICTIONS: Return empty list []
+
+        3. fact_type (string)
+           SOURCE: Choose from FACT TYPES listed above
+           PURPOSE: Classify the NEW FACT's type
+           DEFAULT: Return 'DEFAULT' if NEW FACT doesn't match any predefined FACT TYPES
+
+        ═══════════════════════════════════════════════════════════════
+        CRITICAL WARNINGS
+        ═══════════════════════════════════════════════════════════════
+        - LIST A and LIST B are COMPLETELY SEPARATE with INDEPENDENT indexing
+        - Do NOT use idx values from LIST B in duplicate_facts field
+        - Do NOT use idx values from LIST A in contradicted_facts field
+        - Each list starts indexing from 0 independently
+        - Verify your idx values are within the valid ranges specified above
         """,
         ),
     ]
diff --git c/graphiti_core/utils/maintenance/edge_operations.py i/graphiti_core/utils/maintenance/edge_operations.py
index 9fc356a..3fb19c7 100644
--- c/graphiti_core/utils/maintenance/edge_operations.py
+++ i/graphiti_core/utils/maintenance/edge_operations.py
@@ -444,8 +444,7 @@ async def resolve_extracted_edges(
     resolved_edges: list[EntityEdge] = []
     invalidated_edges: list[EntityEdge] = []
     for result in results:
-        resolved_edge = result[0]
-        invalidated_edge_chunk = result[1]
+        resolved_edge, invalidated_edge_chunk, _ = result  # Third value (duplicate_edges) not needed here

         resolved_edges.append(resolved_edge)
         invalidated_edges.extend(invalidated_edge_chunk)
diff --git c/mcp_server/src/graphiti_mcp_server.py i/mcp_server/src/graphiti_mcp_server.py
index 2b9a855..b264c40 100644
--- c/mcp_server/src/graphiti_mcp_server.py
+++ i/mcp_server/src/graphiti_mcp_server.py
@@ -92,6 +92,12 @@ logging.getLogger('uvicorn.access').setLevel(logging.WARNING)  # Reduce access l
 logging.getLogger('mcp.server.streamable_http_manager').setLevel(
     logging.WARNING
 )  # Reduce MCP noise
+logging.getLogger('opensearch').setLevel(
+    logging.ERROR
+)  # Only log actual errors, not transient warnings
+logging.getLogger('urllib3.connectionpool').setLevel(
+    logging.ERROR
+)  # Suppress retry warnings

 # Patch uvicorn's logging config to use our format
---
 graphiti_core/driver/neptune_driver.py        |  1 +
 graphiti_core/prompts/dedupe_edges.py         | 79 ++++++++++++++++---
 .../utils/maintenance/edge_operations.py      |  3 +-
 mcp_server/src/graphiti_mcp_server.py         |  6 ++
 4 files changed, 78 insertions(+), 11 deletions(-)

diff --git a/graphiti_core/driver/neptune_driver.py b/graphiti_core/driver/neptune_driver.py
index 0a57ab35e..9a020379e 100644
--- a/graphiti_core/driver/neptune_driver.py
+++ b/graphiti_core/driver/neptune_driver.py
@@ -196,6 +196,7 @@ def __init__(self, host: str, aoss_host: str, port: int = 8182, aoss_port: int =
             timeout=30,  # 30 second timeout to prevent hanging connections
             max_retries=5,  # Enable retry logic with exponential backoff
             retry_on_timeout=True,  # Retry when timeout occurs
+            retry_on_status=[502, 503, 504],  # Retry on gateway errors and service unavailable
         )
 
     def _sanitize_parameters(self, query, params: dict):
diff --git a/graphiti_core/prompts/dedupe_edges.py b/graphiti_core/prompts/dedupe_edges.py
index c6e4359aa..86877125b 100644
--- a/graphiti_core/prompts/dedupe_edges.py
+++ b/graphiti_core/prompts/dedupe_edges.py
@@ -41,6 +41,12 @@ class Versions(TypedDict):
 
 
 def resolve_edge(context: dict[str, Any]) -> list[Message]:
+    existing_facts_count = len(context.get('existing_edges', []))
+    invalidation_candidates_count = len(context.get('edge_invalidation_candidates', []))
+
+    existing_range = f'0 to {existing_facts_count - 1}' if existing_facts_count > 0 else 'none (empty list)'
+    invalidation_range = f'0 to {invalidation_candidates_count - 1}' if invalidation_candidates_count > 0 else 'none (empty list)'
+
     return [
         Message(
             role='system',
@@ -50,16 +56,25 @@ def resolve_edge(context: dict[str, Any]) -> list[Message]:
         Message(
             role='user',
             content=f"""
-        Task:
-        You will receive TWO separate lists of facts. Each list uses 'idx' as its index field, starting from 0.
-
+        You will analyze a NEW FACT against two separate lists of existing facts.
+        
+        ═══════════════════════════════════════════════════════════════
+        LIST A: EXISTING FACTS (for duplicate detection)
+        ═══════════════════════════════════════════════════════════════
+        Count: {existing_facts_count} facts
+        Valid idx range: {existing_range}
+        
         1. DUPLICATE DETECTION:
            - If the NEW FACT represents identical factual information as any fact in EXISTING FACTS, return those idx values in duplicate_facts.
            - Facts with similar information that contain key differences should NOT be marked as duplicates.
            - Return idx values from EXISTING FACTS.
            - If no duplicates, return an empty list for duplicate_facts.
 
-        2. CONTRADICTION DETECTION:
+        2. FACT TYPE CLASSIFICATION:
+           - Given the predefined FACT TYPES, determine if the NEW FACT should be classified as one of these types.
+           - Return the fact type as fact_type or DEFAULT if NEW FACT is not one of the FACT TYPES.
+
+        3. CONTRADICTION DETECTION:
            - Based on FACT INVALIDATION CANDIDATES and NEW FACT, determine which facts the new fact contradicts.
            - Return idx values from FACT INVALIDATION CANDIDATES.
            - If no contradictions, return an empty list for contradicted_facts.
@@ -73,17 +88,63 @@ def resolve_edge(context: dict[str, Any]) -> list[Message]:
         1. Some facts may be very similar but will have key differences, particularly around numeric values in the facts.
             Do not mark these facts as duplicates.
 
+        <FACT TYPES>
+        {context['edge_types']}
+        </FACT TYPES>
+
         <EXISTING FACTS>
         {context['existing_edges']}
-        </EXISTING FACTS>
 
-        <FACT INVALIDATION CANDIDATES>
+        ═══════════════════════════════════════════════════════════════
+        LIST B: FACT INVALIDATION CANDIDATES (for contradiction detection)
+        ═══════════════════════════════════════════════════════════════
+        Count: {invalidation_candidates_count} facts
+        Valid idx range: {invalidation_range}
+
         {context['edge_invalidation_candidates']}
-        </FACT INVALIDATION CANDIDATES>
 
-        <NEW FACT>
+        ═══════════════════════════════════════════════════════════════
+        NEW FACT TO ANALYZE
+        ═══════════════════════════════════════════════════════════════
         {context['new_edge']}
-        </NEW FACT>
+
+        ═══════════════════════════════════════════════════════════════
+        FACT TYPES FOR CLASSIFICATION
+        ═══════════════════════════════════════════════════════════════
+        {context['edge_types']}
+
+        ═══════════════════════════════════════════════════════════════
+        YOUR RESPONSE MUST INCLUDE THREE FIELDS
+        ═══════════════════════════════════════════════════════════════
+
+        1. duplicate_facts (list of integers)
+           SOURCE: Use idx values ONLY from LIST A (EXISTING FACTS)
+           VALID RANGE: {existing_range}
+           PURPOSE: Identify which facts in LIST A are duplicates of the NEW FACT
+           CRITERIA: Facts must represent identical factual information (minor wording differences OK)
+           NOTE: Facts with key differences (especially numeric values) are NOT duplicates
+           IF NO DUPLICATES: Return empty list []
+
+        2. contradicted_facts (list of integers)
+           SOURCE: Use idx values ONLY from LIST B (FACT INVALIDATION CANDIDATES)
+           VALID RANGE: {invalidation_range}
+           PURPOSE: Identify which facts in LIST B are contradicted by the NEW FACT
+           CRITERIA: Facts that are logically incompatible with the NEW FACT
+           IF NO CONTRADICTIONS: Return empty list []
+
+        3. fact_type (string)
+           SOURCE: Choose from FACT TYPES listed above
+           PURPOSE: Classify the NEW FACT's type
+           DEFAULT: Return 'DEFAULT' if NEW FACT doesn't match any predefined FACT TYPES
+
+        ═══════════════════════════════════════════════════════════════
+        CRITICAL WARNINGS
+        ═══════════════════════════════════════════════════════════════
+        - LIST A and LIST B are COMPLETELY SEPARATE with INDEPENDENT indexing
+        - Do NOT use idx values from LIST B in duplicate_facts field
+        - Do NOT use idx values from LIST A in contradicted_facts field
+        - Each list starts indexing from 0 independently
+        - Verify your idx values are within the valid ranges specified above
         """,
         ),
     ]
diff --git a/graphiti_core/utils/maintenance/edge_operations.py b/graphiti_core/utils/maintenance/edge_operations.py
index 9fc356a69..3fb19c72b 100644
--- a/graphiti_core/utils/maintenance/edge_operations.py
+++ b/graphiti_core/utils/maintenance/edge_operations.py
@@ -444,8 +444,7 @@ async def resolve_extracted_edges(
     resolved_edges: list[EntityEdge] = []
     invalidated_edges: list[EntityEdge] = []
     for result in results:
-        resolved_edge = result[0]
-        invalidated_edge_chunk = result[1]
+        resolved_edge, invalidated_edge_chunk, _ = result  # Third value (duplicate_edges) not needed here
 
         resolved_edges.append(resolved_edge)
         invalidated_edges.extend(invalidated_edge_chunk)
diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index 2b9a855c4..b264c40a7 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -92,6 +92,12 @@
 logging.getLogger('mcp.server.streamable_http_manager').setLevel(
     logging.WARNING
 )  # Reduce MCP noise
+logging.getLogger('opensearch').setLevel(
+    logging.ERROR
+)  # Only log actual errors, not transient warnings
+logging.getLogger('urllib3.connectionpool').setLevel(
+    logging.ERROR
+)  # Suppress retry warnings
 
 
 # Patch uvicorn's logging config to use our format

From 037da15f7e1a1dc854a9a6f3c0a58caee78e6fa3 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Tue, 3 Feb 2026 07:12:16 -0700
Subject: [PATCH 13/22] mcp init fix

---
 mcp_server/src/graphiti_mcp_server.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index b264c40a7..252ff0ab2 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -1040,7 +1040,8 @@ async def run_mcp_server():
         # Configure uvicorn logging to match our format
         configure_uvicorn_logging()
 
-        await mcp.run_streamable_http_async()
+        # Use mcp.run() which properly initializes the task group
+        await mcp.run(transport='http')
     else:
         raise ValueError(
             f'Unsupported transport: {mcp_config.transport}. Use "sse", "stdio", or "http"'

From 8d9411359bd9e1b7feee1bb043571ed6fdbbaade Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Tue, 3 Feb 2026 08:47:37 -0700
Subject: [PATCH 14/22] pip over uv multiarch

---
 mcp_server/uv.lock | 5159 +++++++++++++++++++----------------
 uv.lock            | 6473 ++++++++++++++++++++++----------------------
 2 files changed, 6186 insertions(+), 5446 deletions(-)

diff --git a/mcp_server/uv.lock b/mcp_server/uv.lock
index fb1754d4f..31b6fadb8 100644
--- a/mcp_server/uv.lock
+++ b/mcp_server/uv.lock
@@ -2,25 +2,26 @@ version = 1
 revision = 3
 requires-python = ">=3.10, <4"
 resolution-markers = [
-    "python_full_version >= '3.14'",
-    "python_full_version < '3.12'",
-    "python_full_version == '3.12.*'",
     "python_full_version == '3.13.*'",
+    "python_full_version == '3.12.*'",
+    "python_full_version == '3.11.*'",
+    "python_full_version < '3.11'",
+    "python_full_version >= '3.14'",
 ]
 
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
+source = { registry = "https://klaviyo.jfrog.io/artifactory/api/pypi/pypi/simple" }
+sdist = { url = "https://klaviyo.jfrog.io/artifactory/api/pypi/pypi/packages/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
+    { url = "https://klaviyo.jfrog.io/artifactory/api/pypi/pypi/packages/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8" },
 ]
 
 [[package]]
 name = "aiohttp"
 version = "3.13.3"
-source = { registry = "https://pypi.org/simple" }
+source = { registry = "https://klaviyo.jfrog.io/artifactory/api/pypi/pypi/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
     { name = "aiosignal" },
@@ -31,211 +32,211 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88", size = 7844556, upload-time = "2026-01-03T17:33:05.204Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/36/d6/5aec9313ee6ea9c7cde8b891b69f4ff4001416867104580670a31daeba5b/aiohttp-3.13.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5a372fd5afd301b3a89582817fdcdb6c34124787c70dbcc616f259013e7eef7", size = 738950, upload-time = "2026-01-03T17:29:13.002Z" },
-    { url = "https://files.pythonhosted.org/packages/68/03/8fa90a7e6d11ff20a18837a8e2b5dd23db01aabc475aa9271c8ad33299f5/aiohttp-3.13.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:147e422fd1223005c22b4fe080f5d93ced44460f5f9c105406b753612b587821", size = 496099, upload-time = "2026-01-03T17:29:15.268Z" },
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diff --git a/uv.lock b/uv.lock
index 610d21c52..080645462 100644
--- a/uv.lock
+++ b/uv.lock
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 version = "3.13.3"
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     { name = "aiosignal" },
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From 15cbe702e91eed384cbbf34c9f777d6ee58a56fa Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Fri, 6 Feb 2026 12:02:41 -0700
Subject: [PATCH 15/22] startup changes

---
 mcp_server/src/graphiti_mcp_server.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index 252ff0ab2..c47d55553 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -1040,8 +1040,8 @@ async def run_mcp_server():
         # Configure uvicorn logging to match our format
         configure_uvicorn_logging()
 
-        # Use mcp.run() which properly initializes the task group
-        await mcp.run(transport='http')
+        # Use mcp.run() without parameters - FastMCP auto-detects HTTP transport from settings
+        await mcp.run()
     else:
         raise ValueError(
             f'Unsupported transport: {mcp_config.transport}. Use "sse", "stdio", or "http"'

From 640bc3b40dc3b53745b838058f59ee45eb4cfb13 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Fri, 6 Feb 2026 12:15:16 -0700
Subject: [PATCH 16/22] startup changes

---
 mcp_server/src/graphiti_mcp_server.py | 72 ++++++++++++++++-----------
 1 file changed, 44 insertions(+), 28 deletions(-)

diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index c47d55553..a269dec68 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -1004,7 +1004,7 @@ async def initialize_server() -> ServerConfig:
 
 
 async def run_mcp_server():
-    """Run the MCP server in the current event loop."""
+    """Run the MCP server in the current event loop (for stdio/sse only)."""
     # Initialize the server
     mcp_config = await initialize_server()
 
@@ -1018,41 +1018,57 @@ async def run_mcp_server():
         )
         logger.info(f'Access the server at: http://{mcp.settings.host}:{mcp.settings.port}/sse')
         await mcp.run_sse_async()
-    elif mcp_config.transport == 'http':
-        # Use localhost for display if binding to 0.0.0.0
-        display_host = 'localhost' if mcp.settings.host == '0.0.0.0' else mcp.settings.host
-        logger.info(
-            f'Running MCP server with streamable HTTP transport on {mcp.settings.host}:{mcp.settings.port}'
-        )
-        logger.info('=' * 60)
-        logger.info('MCP Server Access Information:')
-        logger.info(f'  Base URL: http://{display_host}:{mcp.settings.port}/')
-        logger.info(f'  MCP Endpoint: http://{display_host}:{mcp.settings.port}/mcp/')
-        logger.info('  Transport: HTTP (streamable)')
-
-        # Show FalkorDB Browser UI access if enabled
-        if os.environ.get('BROWSER', '1') == '1':
-            logger.info(f'  FalkorDB Browser UI: http://{display_host}:3000/')
-
-        logger.info('=' * 60)
-        logger.info('For MCP clients, connect to the /mcp/ endpoint above')
-
-        # Configure uvicorn logging to match our format
-        configure_uvicorn_logging()
-
-        # Use mcp.run() without parameters - FastMCP auto-detects HTTP transport from settings
-        await mcp.run()
     else:
         raise ValueError(
-            f'Unsupported transport: {mcp_config.transport}. Use "sse", "stdio", or "http"'
+            f'Unsupported transport: {mcp_config.transport}. Use "sse" or "stdio" for async mode'
         )
 
 
 def main():
     """Main function to run the Graphiti MCP server."""
     try:
-        # Run everything in a single event loop
-        asyncio.run(run_mcp_server())
+        # Parse config to determine transport type
+        # Set CONFIG_PATH env var for GraphitiConfig to load from
+        if 'CONFIG_PATH' not in os.environ:
+            os.environ['CONFIG_PATH'] = os.environ.get('GRAPHITI_CONFIG_PATH', 'config/config.yaml')
+
+        from config.schema import GraphitiConfig
+        config = GraphitiConfig()
+
+        if config.server.transport == 'http':
+            # For HTTP transport, run initialization in event loop then call mcp.run() directly
+            # mcp.run() manages its own event loop, so we can't call it from within asyncio.run()
+            async def init_only():
+                await initialize_server()
+
+            asyncio.run(init_only())
+
+            # Use localhost for display if binding to 0.0.0.0
+            display_host = 'localhost' if config.server.host == '0.0.0.0' else config.server.host
+            logger.info(
+                f'Running MCP server with streamable HTTP transport on {config.server.host}:{config.server.port}'
+            )
+            logger.info('=' * 60)
+            logger.info('MCP Server Access Information:')
+            logger.info(f'  Base URL: http://{display_host}:{config.server.port}/')
+            logger.info(f'  MCP Endpoint: http://{display_host}:{config.server.port}/mcp/')
+            logger.info('  Transport: HTTP (streamable)')
+
+            # Show FalkorDB Browser UI access if enabled
+            if os.environ.get('BROWSER', '1') == '1':
+                logger.info(f'  FalkorDB Browser UI: http://{display_host}:3000/')
+
+            logger.info('=' * 60)
+            logger.info('For MCP clients, connect to the /mcp/ endpoint above')
+
+            # Configure uvicorn logging to match our format
+            configure_uvicorn_logging()
+
+            # Call mcp.run() directly - it manages its own event loop
+            mcp.run()
+        else:
+            # For stdio/sse transports, use async mode
+            asyncio.run(run_mcp_server())
     except KeyboardInterrupt:
         logger.info('Server shutting down...')
     except Exception as e:

From aa5e95c155c9084d32e9f21d934304e17a2f2b57 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Fri, 6 Feb 2026 12:27:00 -0700
Subject: [PATCH 17/22] liveness check fixes

---
 mcp_server/src/graphiti_mcp_server.py | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index a269dec68..f8f9333e3 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -1036,8 +1036,7 @@ def main():
         config = GraphitiConfig()
 
         if config.server.transport == 'http':
-            # For HTTP transport, run initialization in event loop then call mcp.run() directly
-            # mcp.run() manages its own event loop, so we can't call it from within asyncio.run()
+            # For HTTP transport, initialize then run with uvicorn
             async def init_only():
                 await initialize_server()
 
@@ -1064,8 +1063,14 @@ async def init_only():
             # Configure uvicorn logging to match our format
             configure_uvicorn_logging()
 
-            # Call mcp.run() directly - it manages its own event loop
-            mcp.run()
+            # Run the ASGI app with uvicorn - this properly handles all async lifecycle
+            import uvicorn
+            uvicorn.run(
+                mcp.streamable_http_app,
+                host=config.server.host,
+                port=config.server.port,
+                log_config=None,  # Use our custom logging configuration
+            )
         else:
             # For stdio/sse transports, use async mode
             asyncio.run(run_mcp_server())

From 92ab0967eb80d9cf39a2cd1f4e494822efe6d24a Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Thu, 19 Feb 2026 15:04:38 -0700
Subject: [PATCH 18/22] arg fix

---
 graphiti_core/driver/neptune_driver.py             | 13 ++++++++++++-
 graphiti_core/utils/maintenance/edge_operations.py | 10 ++++++++++
 2 files changed, 22 insertions(+), 1 deletion(-)

diff --git a/graphiti_core/driver/neptune_driver.py b/graphiti_core/driver/neptune_driver.py
index 7c2c172a7..7ddc39c24 100644
--- a/graphiti_core/driver/neptune_driver.py
+++ b/graphiti_core/driver/neptune_driver.py
@@ -436,7 +436,18 @@ async def run(self, query: str | list, **kwargs: Any) -> Any:
         if isinstance(query, list):
             res = None
             for q in query:
-                res = await self.driver.execute_query(q, **kwargs)
+                # Handle both tuple (query, params) format and plain string queries
+                if isinstance(q, tuple):
+                    if len(q) >= 2:
+                        # Unpack query and params from tuple
+                        query_str, params = q[0], q[1]
+                        res = await self.driver.execute_query(query_str, **params)
+                    else:
+                        # Single element tuple, treat as query string
+                        res = await self.driver.execute_query(str(q[0]), **kwargs)
+                else:
+                    # Plain string query
+                    res = await self.driver.execute_query(q, **kwargs)
             return res
         else:
             return await self.driver.execute_query(str(query), **kwargs)
diff --git a/graphiti_core/utils/maintenance/edge_operations.py b/graphiti_core/utils/maintenance/edge_operations.py
index b8adb8ce0..9049187e5 100644
--- a/graphiti_core/utils/maintenance/edge_operations.py
+++ b/graphiti_core/utils/maintenance/edge_operations.py
@@ -536,10 +536,20 @@ async def resolve_extracted_edge(
         for i, existing_edge in enumerate(existing_edges)
     ]
 
+    # Build edge types context for the prompt
+    edge_types_context = []
+    if edge_type_candidates:
+        for type_name, type_model in edge_type_candidates.items():
+            edge_types_context.append({
+                'fact_type_name': type_name,
+                'fact_type_description': type_model.__doc__,
+            })
+    
     context = {
         'existing_edges': related_edges_context,
         'new_edge': extracted_edge.fact,
         'edge_invalidation_candidates': invalidation_edge_candidates_context,
+        'edge_types': edge_types_context,
     }
 
     if related_edges or existing_edges:

From 2b26e7e5f1fea9be92afb26c9ee03c679a254b4d Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Fri, 20 Feb 2026 14:06:28 -0700
Subject: [PATCH 19/22] normalize db connection string

---
 mcp_server/src/services/factories.py | 33 ++++++++++++++--------------
 1 file changed, 17 insertions(+), 16 deletions(-)

diff --git a/mcp_server/src/services/factories.py b/mcp_server/src/services/factories.py
index 1f4f6f645..6670c07d5 100644
--- a/mcp_server/src/services/factories.py
+++ b/mcp_server/src/services/factories.py
@@ -483,6 +483,8 @@ def create_config(config: DatabaseConfig) -> dict:
                 env_aoss_port = os.environ.get('AOSS_PORT')
                 env_region = os.environ.get('AWS_REGION')
 
+                from config.schema import NeptuneProviderConfig
+
                 if config.providers.neptune:
                     neptune_config = config.providers.neptune
                     # Apply environment overrides
@@ -493,29 +495,28 @@ def create_config(config: DatabaseConfig) -> dict:
                     region_override = env_region or region or neptune_config.region
                 else:
                     # No config provided, use environment variables with defaults
-                    from config.schema import NeptuneProviderConfig
-
                     host = env_host or 'neptune-db://localhost'
                     aoss_host = env_aoss_host
                     port = int(env_port) if env_port else 8182
                     aoss_port = int(env_aoss_port) if env_aoss_port else 443
                     region_override = env_region or region
 
-                    # Create config with values to trigger validation
-                    neptune_config = NeptuneProviderConfig(
-                        host=host,
-                        aoss_host=aoss_host,
-                        port=port,
-                        aoss_port=aoss_port,
-                        region=region_override,
-                    )
+                # Always validate and normalize through NeptuneProviderConfig
+                # This ensures protocol prefix is added if missing
+                neptune_config = NeptuneProviderConfig(
+                    host=host,
+                    aoss_host=aoss_host,
+                    port=port,
+                    aoss_port=aoss_port,
+                    region=region_override,
+                )
 
-                    # Use normalized values from config (protocol may have been auto-added)
-                    host = neptune_config.host
-                    aoss_host = neptune_config.aoss_host
-                    port = neptune_config.port
-                    aoss_port = neptune_config.aoss_port
-                    region_override = neptune_config.region
+                # Use normalized values from config (protocol may have been auto-added)
+                host = neptune_config.host
+                aoss_host = neptune_config.aoss_host
+                port = neptune_config.port
+                aoss_port = neptune_config.aoss_port
+                region_override = neptune_config.region
 
                 if not aoss_host:
                     raise ValueError(

From 45159796bcdb7bddeb1aea5154bf55e1f035b06f Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Wed, 25 Feb 2026 14:11:28 -0700
Subject: [PATCH 20/22] session id

---
 mcp_server/src/config/schema.py      |   4 +
 mcp_server/src/services/factories.py | 106 ++++++++++++++++++++++++++-
 2 files changed, 106 insertions(+), 4 deletions(-)

diff --git a/mcp_server/src/config/schema.py b/mcp_server/src/config/schema.py
index 1e0bd5352..584561148 100644
--- a/mcp_server/src/config/schema.py
+++ b/mcp_server/src/config/schema.py
@@ -90,6 +90,10 @@ class OpenAIProviderConfig(BaseModel):
     api_key: str | None = None
     api_url: str = 'https://api.openai.com/v1'
     organization_id: str | None = None
+    extra_headers: dict[str, str] | None = Field(
+        default=None,
+        description='Custom HTTP headers to include in API requests (e.g., X-Session-ID for gateways)',
+    )
 
 
 class AzureOpenAIProviderConfig(BaseModel):
diff --git a/mcp_server/src/services/factories.py b/mcp_server/src/services/factories.py
index 6670c07d5..063532f24 100644
--- a/mcp_server/src/services/factories.py
+++ b/mcp_server/src/services/factories.py
@@ -127,8 +127,60 @@ def create(config: LLMConfig) -> LLMClient:
                 # Use the same model for both main and small model slots
                 small_model = config.model
 
+                # Build custom headers from multiple sources (priority order)
+                import json
+                import os
+
+                custom_headers: dict[str, str] = {}
+
+                # Source 1: Config file extra_headers (highest priority)
+                if config.providers.openai.extra_headers:
+                    custom_headers.update(config.providers.openai.extra_headers)
+                    logger.info(
+                        f'Loaded {len(config.providers.openai.extra_headers)} custom headers from config'
+                    )
+
+                # Source 2: OPENAI_EXTRA_HEADERS environment variable (JSON)
+                env_headers_json = os.environ.get('OPENAI_EXTRA_HEADERS')
+                if env_headers_json:
+                    try:
+                        env_headers = json.loads(env_headers_json)
+                        custom_headers.update(env_headers)
+                        logger.info(
+                            f'Loaded {len(env_headers)} custom headers from OPENAI_EXTRA_HEADERS'
+                        )
+                    except json.JSONDecodeError as e:
+                        logger.warning(f'Failed to parse OPENAI_EXTRA_HEADERS: {e}')
+
+                # Source 3: X_SESSION_ID environment variable (single header)
+                session_id = os.environ.get('X_SESSION_ID')
+                if session_id:
+                    custom_headers['X-Session-ID'] = session_id
+                    logger.info('Using X-Session-ID from environment variable')
+
+                # Log active custom headers (without values for security)
+                if custom_headers:
+                    header_names = ', '.join(custom_headers.keys())
+                    logger.info(f'Using custom headers for OpenAI API: {header_names}')
+
+                # Create OpenAI client with custom headers
+                from openai import AsyncOpenAI
+
+                base_url = (
+                    config.providers.openai.api_url
+                    if config.providers.openai.api_url
+                    else 'https://api.openai.com/v1'
+                )
+
+                openai_client = AsyncOpenAI(
+                    api_key=api_key,
+                    base_url=base_url,
+                    default_headers=custom_headers if custom_headers else None,
+                )
+
                 llm_config = CoreLLMConfig(
                     api_key=api_key,
+                    base_url=base_url,
                     model=config.model,
                     small_model=small_model,
                     temperature=config.temperature,
@@ -141,10 +193,17 @@ def create(config: LLMConfig) -> LLMClient:
 
                 # Only pass reasoning/verbosity parameters for reasoning models (gpt-5 family)
                 if is_reasoning_model:
-                    return OpenAIClient(config=llm_config, reasoning='minimal', verbosity='low')
+                    return OpenAIClient(
+                        config=llm_config,
+                        client=openai_client,
+                        reasoning='minimal',
+                        verbosity='low',
+                    )
                 else:
                     # For non-reasoning models, explicitly pass None to disable these parameters
-                    return OpenAIClient(config=llm_config, reasoning=None, verbosity=None)
+                    return OpenAIClient(
+                        config=llm_config, client=openai_client, reasoning=None, verbosity=None
+                    )
 
             case 'azure_openai':
                 if not HAS_AZURE_LLM:
@@ -274,15 +333,54 @@ def create(config: EmbedderConfig) -> EmbedderClient:
                 api_key = config.providers.openai.api_key
                 _validate_api_key('OpenAI Embedder', api_key, logger)
 
+                # Build custom headers from multiple sources (same as LLM client)
+                import json
+                import os
+
+                custom_headers: dict[str, str] = {}
+
+                # Source 1: Config file extra_headers (highest priority)
+                if config.providers.openai.extra_headers:
+                    custom_headers.update(config.providers.openai.extra_headers)
+
+                # Source 2: OPENAI_EXTRA_HEADERS environment variable (JSON)
+                env_headers_json = os.environ.get('OPENAI_EXTRA_HEADERS')
+                if env_headers_json:
+                    try:
+                        env_headers = json.loads(env_headers_json)
+                        custom_headers.update(env_headers)
+                    except json.JSONDecodeError:
+                        pass  # Already logged in LLM client
+
+                # Source 3: X_SESSION_ID environment variable (single header)
+                session_id = os.environ.get('X_SESSION_ID')
+                if session_id:
+                    custom_headers['X-Session-ID'] = session_id
+
+                # Create OpenAI client with custom headers if any
+                from openai import AsyncOpenAI
+
+                base_url = (
+                    config.providers.openai.api_url
+                    if config.providers.openai.api_url
+                    else 'https://api.openai.com/v1'
+                )
+
+                openai_client = AsyncOpenAI(
+                    api_key=api_key,
+                    base_url=base_url,
+                    default_headers=custom_headers if custom_headers else None,
+                )
+
                 from graphiti_core.embedder.openai import OpenAIEmbedderConfig
 
                 embedder_config = OpenAIEmbedderConfig(
                     api_key=api_key,
                     embedding_model=config.model,
-                    base_url=config.providers.openai.api_url,  # Support custom endpoints like Ollama
+                    base_url=base_url,
                     embedding_dim=config.dimensions,  # Support custom embedding dimensions
                 )
-                return OpenAIEmbedder(config=embedder_config)
+                return OpenAIEmbedder(config=embedder_config, client=openai_client)
 
             case 'azure_openai':
                 if not HAS_AZURE_EMBEDDER:

From d7acac3ff22e0fb36858dd32b34aebba7c217559 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Thu, 26 Feb 2026 15:13:52 -0700
Subject: [PATCH 21/22] transport and mcp version

---
 mcp_server/pyproject.toml             | 2 +-
 mcp_server/src/graphiti_mcp_server.py | 4 ++++
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/mcp_server/pyproject.toml b/mcp_server/pyproject.toml
index 6109a23fd..17c22157c 100644
--- a/mcp_server/pyproject.toml
+++ b/mcp_server/pyproject.toml
@@ -5,7 +5,7 @@ description = "Graphiti MCP Server"
 readme = "README.md"
 requires-python = ">=3.10,<4"
 dependencies = [
-    "mcp==1.9.4",  # Pinned to avoid DNS rebinding protection in v1.23.0+
+    "mcp>=1.26.0",  # Updated to fix CVE-2025-53365 (ClosedResourceError crash)
     "openai>=1.91.0",
     "graphiti-core[falkordb,neptune]==0.28.1",
     "pydantic-settings>=2.0.0",
diff --git a/mcp_server/src/graphiti_mcp_server.py b/mcp_server/src/graphiti_mcp_server.py
index f8f9333e3..dd48bb1ba 100644
--- a/mcp_server/src/graphiti_mcp_server.py
+++ b/mcp_server/src/graphiti_mcp_server.py
@@ -17,6 +17,7 @@
 from graphiti_core.nodes import EpisodeType, EpisodicNode
 from graphiti_core.search.search_filters import SearchFilters
 from graphiti_core.utils.maintenance.graph_data_operations import clear_data
+from mcp.server.transport_security import TransportSecuritySettings
 from mcp.server.fastmcp import FastMCP
 from pydantic import BaseModel
 from starlette.responses import JSONResponse
@@ -150,9 +151,12 @@ def configure_uvicorn_logging():
 """
 
 # MCP server instance
+logger.info('DNS rebinding protection configured from settings')
+transport_security = TransportSecuritySettings(enable_dns_rebinding_protection=False)
 mcp = FastMCP(
     'Graphiti Agent Memory',
     instructions=GRAPHITI_MCP_INSTRUCTIONS,
+    transport_security=transport_security
 )
 
 # Global services

From 465fc306a0f50a63ad3a14b37e614b2e875a09c2 Mon Sep 17 00:00:00 2001
From: Aidan Petti <apetti1920@aol.com>
Date: Fri, 27 Feb 2026 08:43:25 -0700
Subject: [PATCH 22/22] fix tuple error

---
 graphiti_core/graphiti.py                | 43 +++++++++++++++---------
 graphiti_core/utils/bulk_utils.py        | 20 +++++++++++
 mcp_server/src/services/queue_service.py |  2 ++
 3 files changed, 50 insertions(+), 15 deletions(-)

diff --git a/graphiti_core/graphiti.py b/graphiti_core/graphiti.py
index 619607a81..f3c15de7e 100644
--- a/graphiti_core/graphiti.py
+++ b/graphiti_core/graphiti.py
@@ -638,25 +638,38 @@ async def _resolve_nodes_and_edges_bulk(
         # Get unique nodes per episode
         nodes_by_episode_unique: dict[str, list[EntityNode]] = {}
         nodes_uuid_set: set[str] = set()
-        for episode, _ in episode_context:
-            nodes_by_episode_unique[episode.uuid] = []
-            nodes = [nodes_by_uuid[node.uuid] for node in nodes_by_episode[episode.uuid]]
-            for node in nodes:
-                if node.uuid not in nodes_uuid_set:
-                    nodes_by_episode_unique[episode.uuid].append(node)
-                    nodes_uuid_set.add(node.uuid)
+        try:
+            # Handle variable-length tuples in episode_context
+            for item in episode_context:
+                episode = item[0]  # Extract episode (first element)
+                nodes_by_episode_unique[episode.uuid] = []
+                nodes = [nodes_by_uuid[node.uuid] for node in nodes_by_episode[episode.uuid]]
+                for node in nodes:
+                    if node.uuid not in nodes_uuid_set:
+                        nodes_by_episode_unique[episode.uuid].append(node)
+                        nodes_uuid_set.add(node.uuid)
+        except (ValueError, IndexError, TypeError) as e:
+            logger.error(f'Episode context unpacking failed: {str(e)}')
+            logger.error(f'episode_context type: {type(episode_context)}')
+            if episode_context:
+                logger.error(f'First element: {episode_context[0]}')
+                logger.error(f'First element type: {type(episode_context[0])}')
+                if isinstance(episode_context[0], tuple):
+                    logger.error(f'First tuple length: {len(episode_context[0])}')
+                    logger.error(f'First tuple contents: {[type(x) for x in episode_context[0]]}')
+            raise
 
         # Resolve nodes
         node_results = await semaphore_gather(
             *[
                 resolve_extracted_nodes(
                     self.clients,
-                    nodes_by_episode_unique[episode.uuid],
-                    episode,
-                    previous_episodes,
+                    nodes_by_episode_unique[item[0].uuid],
+                    item[0],  # episode
+                    item[1],  # previous_episodes
                     entity_types,
                 )
-                for episode, previous_episodes in episode_context
+                for item in episode_context
             ]
         )
 
@@ -684,12 +697,12 @@ async def _resolve_nodes_and_edges_bulk(
             *[
                 extract_attributes_from_nodes(
                     self.clients,
-                    nodes_by_episode_unique[episode.uuid],
-                    episode,
-                    previous_episodes,
+                    nodes_by_episode_unique[item[0].uuid],
+                    item[0],  # episode
+                    item[1],  # previous_episodes
                     entity_types,
                 )
-                for episode, previous_episodes in episode_context
+                for item in episode_context
             ]
         )
 
diff --git a/graphiti_core/utils/bulk_utils.py b/graphiti_core/utils/bulk_utils.py
index 40e9c57b7..7c60caa90 100644
--- a/graphiti_core/utils/bulk_utils.py
+++ b/graphiti_core/utils/bulk_utils.py
@@ -122,6 +122,26 @@ async def retrieve_previous_episodes_bulk(
         (episode, previous_episodes_list[i]) for i, episode in enumerate(episodes)
     ]
 
+    # Validate tuple structure to catch malformed episode contexts early
+    for i, tup in enumerate(episode_tuples):
+        if not isinstance(tup, tuple):
+            logger.error(
+                f'Invalid episode tuple at index {i}: expected tuple, got {type(tup).__name__}'
+            )
+            logger.error(f'Tuple content: {tup}')
+            raise TypeError(
+                f'Episode context must contain tuples, got {type(tup).__name__} at index {i}'
+            )
+        if len(tup) != 2:
+            logger.error(
+                f'Invalid episode tuple at index {i}: expected 2 elements, got {len(tup)}'
+            )
+            logger.error(f'Tuple content: {tup}')
+            logger.error(f'Tuple element types: {[type(x).__name__ for x in tup]}')
+            raise ValueError(
+                f'Episode tuple must be 2-element tuple, got {len(tup)} elements at index {i}'
+            )
+
     return episode_tuples
 
 
diff --git a/mcp_server/src/services/queue_service.py b/mcp_server/src/services/queue_service.py
index 8417140c8..69c52873b 100644
--- a/mcp_server/src/services/queue_service.py
+++ b/mcp_server/src/services/queue_service.py
@@ -198,7 +198,9 @@ async def process_episode():
                 logger.info(f'Successfully processed episode {uuid} for group {group_id}')
 
             except Exception as e:
+                import traceback
                 logger.error(f'Failed to process episode {uuid} for group {group_id}: {str(e)}')
+                logger.error(f'Full traceback:\n{traceback.format_exc()}')
                 raise
 
         # Use the existing add_episode_task method to queue the processing