Data & Research · PyPI

flexible-graphrag-mcp

MCP server for Flexible GraphRAG — connects to the FastAPI backend (status, ingest, hybrid search, AI Q&A) for Claude Desktop and other MCP clients. Supports 13 data sources, 15 property graph DBs, 4 RDF triple stores, 10 vector DBs, LlamaIndex + LangChain

Details

Author
Steve Reiner
GitHub profile
@stevereiner
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/stevereiner/flexible-graphrag
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-18
Last active
Directory sync
2026-05-18

Overview

MCP server for Flexible GraphRAG — connects to the FastAPI backend (status, ingest, hybrid search, AI Q&A) for Claude Desktop and other MCP clients. Supports 13 data sources, 15 property graph DBs, 4 RDF triple stores, 10 vector DBs, LlamaIndex + LangChain

Quick start

pip

pip install flexible-graphrag-mcp

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What flexible-graphrag-mcp can do

  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Llamaindex — llamaindex task automation.
  • Langchain — langchain task automation.

Frequently asked questions

What is flexible-graphrag-mcp?
MCP server for Flexible GraphRAG — connects to the FastAPI backend (status, ingest, hybrid search, AI Q&A) for Claude Desktop and other MCP clients. Supports 13 data sources, 15 property graph DBs, 4 RDF triple stores, 10 vector DBs, LlamaIndex + LangChain
How do I install flexible-graphrag-mcp?
Use pip: `pip install flexible-graphrag-mcp`. Full setup details on the source page linked above.
Is flexible-graphrag-mcp open source?
flexible-graphrag-mcp is published on PyPI.
What are alternatives to flexible-graphrag-mcp?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for flexible-graphrag-mcp is sourced from PyPI, published by Steve Reiner.

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