Rag Knowledge MCP Server by MEOK AI Labs
86/100 A · ranked #208 of 339 MEOK MCPs · v1.0.6 · 5 tools
rag-knowledge-mcp scores 86/100 on the proofof.ai 100-point rubric — flagship-grade (top tier).
That is above the fleet average of 85. Install: pip install rag-knowledge-mcp.
| Category | Score | |
|---|---|---|
| README | 10/10 | |
| Tool design | 10/10 | |
| Examples | 10/10 | |
| 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: semantic_search, knowledge_graph_query, index_document, extract_entities_tool, cross_reference.
pip install rag-knowledge-mcpMCP client config: add {"command":"uvx","args":["rag-knowledge-mcp"]} under mcpServers.