This is a RAG knowledge base server that handles semantic search, document chunking, and relevance ranking to reduce hallucination in AI responses. The source shows it's MCP protocol compliant and installable via pip or Smithery, but doesn't detail specific tools or prompts exposed. You'd reach for this when you need to ground Claude's responses in your own documents with proper retrieval mechanics. Built by MEOK AI Labs with a focus on EU AI Act compliance including risk management and bias detection requirements. The README emphasizes enterprise features and compliance tooling more than the underlying RAG implementation details, so expect a batteries-included approach to document retrieval rather than granular control over embedding models or chunking strategies.
RAG knowledge base MCP — semantic search, document chunking, relevance ranking, hallucination red...
RAG knowledge base MCP — semantic search, document chunking, relevance ranking, hallucination reduction. MIT.
# Install via pip
pip install rag_knowledge_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install rag-knowledge-mcp --client claude
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This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.
| Domain | Purpose |
|---|---|
| councilof.ai | EU AI Act compliance marketplace |
| safetyof.ai | AI safety & monitoring |
| meok.ai | Sovereign AI platform |
| cobolbridge.ai | Legacy modernization |
MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT © [MEOK AI Labs](https://meok.ai)Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.
# One-shot install of the governance pack
npx meok-setup --pack governance
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| Tier | Price | What you get | Stripe |
|---|---|---|---|
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| Quick Kit | £9 | EU AI Act Article 50 implementation guide (C2PA + EU-Icon) | https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t |
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Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"rag-knowledge-mcp": {
"command": "uvx",
"args": ["rag-knowledge-mcp"]
}
}
}
Or: pip install rag-knowledge-mcp then run the rag-knowledge-mcp command (stdio transport).
Once configured, ask your assistant, for example:
semantic_search to …"knowledge_graph_query to …"index_document to …"io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
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