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dbx-tools-graphiti

Run Graphiti's REST and MCP applications together in one FastAPI process. The package composes the upstream routers, service initialization, MCP tools, and MCP session manager without copying their implementations.

Both upstream packages resolve from the same Graphiti commit:

  • graph-service from server/
  • mcp-server from mcp_server/

Run

UVICORN_HOST=0.0.0.0 \
UVICORN_PORT=8000 \
uv run uvicorn dbx_tools.graphiti.main:app

From the repository root, the local launcher starts the FalkorDB CLI first, waits for its loopback TCP listener, and then starts Uvicorn:

DATABRICKS_CONFIG_PROFILE=<profile> \
MODEL_NAME=databricks-gpt-5-nano \
bash scripts/run-graphiti-python.sh

The combined application exposes:

  • FastAPI documentation at /docs
  • OpenAPI at /openapi.json
  • REST health and Graphiti routes, including /healthcheck, /search, and ingestion endpoints
  • Streamable HTTP MCP at /mcp/

Configure Graphiti through the environment and YAML settings supported by the two upstream applications.

Databricks Model Resolution

The process creates one generated auth client and one generated model client at startup. It resolves the fuzzy chat model, ranks embedding endpoints by the configured name, embedding class, and dimensions, then resolves both endpoint routes. REST and MCP reuse the same Graphiti model clients, while the auth client injects refreshed Databricks headers into every model request.

Composition Boundary

dbx_tools.graphiti.main owns only the combined FastAPI lifespan and route mounting. It initializes the upstream REST application through initialize_graphiti(), initializes the existing MCP services without invoking their CLI parser, and runs the mounted MCP session manager in the parent lifespan. Shared Graphiti environment options are parsed through the generated graphiti_options_from_environment() binding and mapped into both upstream settings objects before initialization.

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