Rag Knowledge Graph Mcp

io.github.CSOAI-ORGPublished by GitHub account CSOAI-ORGv1.0.8Updated Nov 5, 2026

Rag Knowledge Graph MCP Server by MEOK AI Labs

VerifiedSTDIODesktop onlyDatabasesKnowledge & Memory

Overview

AI-generated overview

Local MCP server for hybrid retrieval that combines vector embeddings with knowledge-graph traversal, letting an assistant index documents and query them with…

What you can do
  • Index documents into a retrieval store for later search
  • Run hybrid RAG queries that mix vector similarity with graph traversal
  • Add graph edges to connect entities and concepts
  • Return citation-aware answers that point back to source material
When to use it
Worth adding when you want an assistant to answer questions over your own documents with a mix of semantic search and relationship-based graph lookup, and to cite what it used.
Requirements
Runs as a local process over stdio, installed from the PyPI package rag_knowledge_graph_mcp (pip install, or run via uvx). No authentication, environment variables or headers are declared.
Before you install
The README is dominated by marketing for paid tiers, a governance pack and Stripe checkout links, and it claims EU AI Act compliance features without describing how they work; treat those claims skeptically. The tool list is not published, so the exact indexing and query behaviour is unverified. Documents you index are stored and processed locally by the server.

Installation

In SourceWeft

  1. Open Rag Knowledge Graph Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

bash
# Install via pippip install rag_knowledge_graph_mcp
# Or install via Smitherynpx -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.

bash
# One-shot install of the governance packnpx 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:

json
{  "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 …"

Source: README.md at commit 3ccaf5a

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.8LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts