MCP ConfigsMay 14, 2026·2 min read

Flexible GraphRAG — Backend + MCP for Docs

An open-source GraphRAG/RAG platform with FastAPI backend + MCP server, 13 data sources, and hybrid search; verified 125★, pushed 2026-05-14.

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Safe staging for this asset

This asset is staged first. The copied prompt tells the agent to inspect the staged files and ask before activating scripts, MCP config, or global config.

Stage only · 27/100Policy: stage
Agent surface
Any MCP/CLI agent
Kind
Mcp Config
Install
Uv|Docker|Npx
Trust
Trust: Established
Entrypoint
uv pip install flexible-graphrag-mcp && flexible-graphrag-mcp --http --port 3001
Safe staging command
npx -y tokrepo@latest install 5e32745c-8468-5123-8935-a074cda68a7a --target codex

Stages files first; activation requires review of the staged README and plan.

Intro

An open-source GraphRAG/RAG platform with FastAPI backend + MCP server, 13 data sources, and hybrid search; verified 125★, pushed 2026-05-14.

Best for: Teams building doc intelligence with a REST backend and MCP tools (ingest/search/query)

Works with: Python 3.13 + uv; backend on http://localhost:8000 and MCP server in HTTP mode on port 3001 (README)

Setup time: 30-65 minutes

Key facts (verified)

  • GitHub: 125 stars · 27 forks · pushed 2026-05-14.
  • License: Apache-2.0 · owner avatar + repo URL verified via GitHub API.
  • README-backed entrypoint: uv pip install flexible-graphrag-mcp && flexible-graphrag-mcp --http --port 3001.

Main

  • Treat it as two layers: backend REST API first, then MCP server connecting to it (README requires backend on :8000).

  • Start with the smallest footprint: install from PyPI and run flexible-graphrag before enabling optional databases/extras.

  • Use MCP Inspector for debugging: README suggests npx @modelcontextprotocol/inspector to validate tools over Streamable HTTP.

  • Scale ingestion sources gradually: README states 13 data sources and 9 MCP tools; add sources only after your baseline pipeline works.

Source-backed notes

  • README states the backend is a FastAPI service at http://localhost:8000 and includes Angular/React/Vue frontends.
  • README says the MCP server provides 9 specialized tools and supports all 13 data sources via backend REST APIs.
  • README MCP quickstart runs flexible-graphrag-mcp --http --port 3001 and tests with npx @modelcontextprotocol/inspector.

FAQ

  • Do I need the backend running for MCP?: Yes — README says the MCP server connects to the backend REST API; it must be up on http://localhost:8000.
  • What’s a good first validation step?: Use MCP Inspector (npx @modelcontextprotocol/inspector) in HTTP mode as shown in README.
  • How many tools and sources are covered?: README states 9 MCP tools and 13 data sources supported by the pipeline.
🙏

Source & Thanks

Source: https://github.com/stevereiner/flexible-graphrag > License: Apache-2.0 > GitHub stars: 125 · forks: 27

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