Fix MCP server telemetry and update graphiti-core to v0.23.0

- Regenerate uv.lock in Docker builds to ensure posthog dependency is included
- Update graphiti-core version to 0.23.0 across all configurations
- Fix Python 3.11 compatibility for Pydantic TypedDict import
- Add FalkorDB Browser UI access information to startup logs

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

mcp_server/docker/Dockerfile

@@ -33,16 +33,20 @@ ENV UV_COMPILE_BYTECODE=1 \
 WORKDIR /app/mcp
 
 # Accept graphiti-core version as build argument
-ARG GRAPHITI_CORE_VERSION=0.22.0
+ARG GRAPHITI_CORE_VERSION=0.23.0
 
 # Copy project files for dependency installation
 COPY pyproject.toml uv.lock ./
 
 # Remove the local path override for graphiti-core in Docker builds
+# and regenerate lock file to match the PyPI version
 RUN sed -i '/\[tool\.uv\.sources\]/,/graphiti-core/d' pyproject.toml && \
     if [ -n "${GRAPHITI_CORE_VERSION}" ]; then \
-      sed -i "s/graphiti-core\[falkordb\]>=0\.16\.0/graphiti-core[falkordb]==${GRAPHITI_CORE_VERSION}/" pyproject.toml; \
-    fi
+      sed -i "s/graphiti-core\[falkordb\]>=0\.23\.0/graphiti-core[falkordb]==${GRAPHITI_CORE_VERSION}/" pyproject.toml; \
+    fi && \
+    echo "Regenerating lock file for PyPI graphiti-core..." && \
+    rm -f uv.lock && \
+    uv lock
 
 # Install Python dependencies
 RUN --mount=type=cache,target=/root/.cache/uv \

mcp_server/docker/Dockerfile.standalone

@@ -28,15 +28,19 @@ ENV UV_COMPILE_BYTECODE=1 \
 WORKDIR /app/mcp
 
 # Accept graphiti-core version as build argument
-ARG GRAPHITI_CORE_VERSION=0.22.0
+ARG GRAPHITI_CORE_VERSION=0.23.0
 
 # Copy project files for dependency installation
 COPY pyproject.toml uv.lock ./
 
 # Remove the local path override for graphiti-core in Docker builds
 # Install with BOTH neo4j and falkordb extras for maximum flexibility
+# and regenerate lock file to match the PyPI version
 RUN sed -i '/\[tool\.uv\.sources\]/,/graphiti-core/d' pyproject.toml && \
-    sed -i "s/graphiti-core\[falkordb\]>=0\.16\.0/graphiti-core[neo4j,falkordb]==${GRAPHITI_CORE_VERSION}/" pyproject.toml
+    sed -i "s/graphiti-core\[falkordb\]>=0\.23\.0/graphiti-core[neo4j,falkordb]==${GRAPHITI_CORE_VERSION}/" pyproject.toml && \
+    echo "Regenerating lock file for PyPI graphiti-core..." && \
+    rm -f uv.lock && \
+    uv lock
 
 # Install Python dependencies
 RUN --mount=type=cache,target=/root/.cache/uv \

mcp_server/docker/docker-compose.yml

@@ -5,7 +5,7 @@ services:
       context: ..
       dockerfile: docker/Dockerfile
       args:
-        GRAPHITI_CORE_VERSION: ${GRAPHITI_CORE_VERSION:-0.22.0}
+        GRAPHITI_CORE_VERSION: ${GRAPHITI_CORE_VERSION:-0.23.0}
         MCP_SERVER_VERSION: ${MCP_SERVER_VERSION:-1.0.0}
         BUILD_DATE: ${BUILD_DATE:-}
         VCS_REF: ${VCS_REF:-}

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]>=0.16.0",
+    "graphiti-core[falkordb]>=0.23.0",
     "pydantic-settings>=2.0.0",
     "pyyaml>=6.0",
 ]
@@ -24,7 +24,7 @@ providers = [
     "sentence-transformers>=2.0.0",
 ]
 dev = [
-    "graphiti-core>=0.16.0",
+    "graphiti-core>=0.23.0",
     "httpx>=0.28.1",
     "mcp>=1.9.4",
     "pyright>=1.1.404",

mcp_server/src/graphiti_mcp_server.py

@@ -931,6 +931,11 @@ async def run_mcp_server():
         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')
 

mcp_server/src/models/response_types.py

@@ -1,6 +1,8 @@
 """Response type definitions for Graphiti MCP Server."""
 
-from typing import Any, TypedDict
+from typing import Any
+
+from typing_extensions import TypedDict
 
 
 class ErrorResponse(TypedDict):