Rag Knowledge Graph MCP Server by MEOK AI Labs
74/100 B · ranked #328 of 339 MEOK MCPs · v1.0.6 · 5 tools
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.
| Category | Score | |
|---|---|---|
| README | 8/10 | |
| Tool design | 10/10 | |
| Examples | 0/10 | |
| Tests + CI | 10/10 | |
| Transports | 5/10 | |
| Metadata | 10/10 | |
| Reliability | 8/10 | |
| Security | 10/10 | |
| Docs surface | 7/10 | |
| Provenance/Revenue | 6/10 |
Framework: fastmcp · transport: stdio. Tools: index_document, rag_query, add_graph_edge, graph_query, get_knowledge_stats.
pip install rag-knowledge-graph-mcpMCP client config: add {"command":"uvx","args":["rag-knowledge-graph-mcp"]} under mcpServers.