MCP Vetted

flexible-graphrag

Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST backend, MCP Server.

Repository
stevereiner/flexible-graphrag
Stars
158
Last push
2026-06-20
License
Apache-2.0
Category
Search & Retrieval

Score breakdown — how scoring works

  • Maintenance

    30 / 30
    • Pushed within 14 days13 days ago+30

  • Adoption

    12.8 / 25
    • GitHub stars (no package published — stars weighted fully)158+12.8

  • Documentation

    25 / 25
    • Comprehensive README (6,000+ chars)80429 chars+10
    • Install / setup instructionsyes+6
    • Tools / capabilities documentedyes+5
    • Code or client-config exampleyes+4

  • Trust signals

    7 / 20
    • OSS license declaredApache-2.0+7
    • First-party vendor implementationno+0
    • DNS-verified registry namespaceno+0
    • Listed in official MCP Registryno+0
    • Owned by an organizationno+0

Install

From sourcegit clone https://github.com/stevereiner/flexible-graphrag

No package published to a registry — see the README for setup instructions.

Always review a server's code and required credentials before connecting it to your MCP client. MCP Vetted scores public metadata — it does not audit code for malicious behavior (yet). Methodology →

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