Fangorn MCP Server
Enables AI agents to query Fangorn subgraph schemas and conformant data from published data sources via the Model Context Protocol.
README
Fangorn MCP Server
An MCP (Model Context Protocol) server that lets AI agents query a Fangorn subgraph schemas and conformant data published by data sources.
Setup
pnpm i
cp env.example .env
# Edit .env and set SUBGRAPH_URL and SUBGRAPH_API_KEY (if calling published Subgraph)
pnpm build
Docker
To build the docker image, run:
docker build -f Dockerfile \
-t us-central1-docker.pkg.dev/lucky-lead-489114-d7/fangorn-network/mcp:latest .
where the tag is your desired registry/namesepace, e.g. for the GCP docker image registry us-central1-docker.pkg.dev/lucky-lead-489114-d7
Running
Local (stdio)
pnpm start
# or
TRANSPORT=stdio node build/index.js
Remote (Streamable HTTP) — for networked agents
TRANSPORT=http PORT=4000 node build/index.js
# Server listens at http://localhost:4000/mcp
Docker
After configuring .env, from the root run:
docker compose up
Remote Client Connection
When running in HTTP mode, clients connect to http://localhost:4000/mcp using the Streamable HTTP transport.
Debugging
Use the MCP Inspector to test tools interactively:
pnpm inspect
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