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rag-knowledge-graph-mcp

rag-knowledge-graph-mcp

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github.com/CSOAI-ORGMemory & Knowledge0Updated 8w ago
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About rag-knowledge-graph-mcp

rag-knowledge-graph-mcp is an MCP server for retrieval-augmented generation that combines vector embeddings with graph traversal. Its retrieval is citation-aware.

Key features

  1. 01Hybrid vector and graph retrieval
  2. 02Vector embeddings
  3. 03Graph traversal
  4. 04Citation-aware retrieval

Use cases

  1. 01Retrieving information from indexed documents
  2. 02Querying information through a RAG workflow
  3. 03Adding relationships between graph entities

MCP support

It exposes document indexing, RAG querying, and graph-edge tools to MCP clients, including `index_document`, `rag_query`, and `add_graph_edge`.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "csoai-org-rag-knowledge-graph": {
      "command": "uvx",
      "args": [
        "rag-knowledge-graph-mcp"
      ]
    }
  }
}
Run commanduvx rag-knowledge-graph-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypirag-knowledge-graph-mcp1.0.8

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Scorecard: 74/100

Rag Knowledge Graph MCP

MEOK AI Labs GSPC License PyPI

RAG + Knowledge Graph MCP — hybrid retrieval with vector embeddings + graph traversal

RAG + Knowledge Graph MCP — hybrid retrieval with vector embeddings + graph traversal. Citation-aware. MIT.

🚀 Quick Start

# Install via pip
pip install rag_knowledge_graph_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install rag-knowledge-graph-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

  • ✅ Article 9 — Risk Management System
  • ✅ Article 13 — Transparency & Instructions for Use
  • ✅ Article 15 — Bias Detection & Testing
  • ✅ Article 26 — FRIA Support (where applicable)
  • ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: $99/mo — Full MCP suite + EU AI Act tracking
  • Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

DomainPurpose
councilof.aiEU AI Act compliance marketplace
safetyof.aiAI safety & monitoring
meok.aiSovereign AI platform
cobolbridge.aiLegacy modernization

📜 License

MIT © CSOAI-ORG

Built with 💜 by MEOK AI Labs · UK Companies House 16939677

MIT © [MEOK AI Labs](https://meok.ai)

Pairs with MEOK Governance Suite

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

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai

💸 Try MEOK in 30 seconds — instant buy ladder

TierPriceWhat you getStripe
Smoke test£1Signed sample MCP-Hardening report + Article 50 PDFhttps://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Quick Kit£9EU AI Act Article 50 implementation guide (C2PA + EU-Icon)https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Founder Call£2930-min 1-on-1 with the founderhttps://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j

Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "rag-knowledge-graph-mcp": {
      "command": "uvx",
      "args": ["rag-knowledge-graph-mcp"]
    }
  }
}

Or: pip install rag-knowledge-graph-mcp then run the rag-knowledge-graph-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use index_document to …"
  • "Use rag_query to …"
  • "Use add_graph_edge to …"

Comments

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