← MCP Scorecard · rated by proofof.ai

rag-knowledge-graph-mcp

Rag Knowledge Graph MCP Server by MEOK AI Labs

74/100  B  · ranked #328 of 339 MEOK MCPs · v1.0.6 · 5 tools

Is rag-knowledge-graph-mcp production-ready?

rag-knowledge-graph-mcp scores 74/100 on the proofof.ai 100-point rubric — solid, with clear next steps. That is around the fleet average of 85. Install: pip install rag-knowledge-graph-mcp.

How does rag-knowledge-graph-mcp score across the 10 categories?

CategoryScore
README8/10
Tool design10/10
Examples0/10
Tests + CI10/10
Transports5/10
Metadata10/10
Reliability8/10
Security10/10
Docs surface7/10
Provenance/Revenue6/10

What can rag-knowledge-graph-mcp do?

Framework: fastmcp · transport: stdio. Tools: index_document, rag_query, add_graph_edge, graph_query, get_knowledge_stats.

How to install rag-knowledge-graph-mcp

pip install rag-knowledge-graph-mcp

MCP client config: add {"command":"uvx","args":["rag-knowledge-graph-mcp"]} under mcpServers.

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