rag-knowledge-graph-mcp 1.0.6

Rag Knowledge Graph automation via MCP. Includes index document, rag query, add graph edge. By MEOK AI Labs.

Rag Knowledge Graph MCP

MCP server for rag knowledge graph mcp operations

Overview

Rag Knowledge Graph MCP provides AI-powered tools via the Model Context Protocol (MCP).

Tools

Tool	Description
index_document	Index a document for RAG retrieval. Generates embeddings and extracts entities.
rag_query	Query the knowledge base. Methods: vector (semantic), keyword (FTS5), hybrid (bo
add_graph_edge	Add a relationship to the knowledge graph.
graph_query	Traverse the knowledge graph from an entity to find connections.
get_knowledge_stats	Get knowledge base statistics.

Installation

pip install meok-rag-knowledge-graph-mcp

Usage with Claude Desktop

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

{
  "mcpServers": {
    "rag-knowledge-graph": {
      "command": "python",
      "args": ["-m", "meok_rag_knowledge_graph_mcp.server"]
    }
  }
}

Usage with FastMCP

from mcp.server.fastmcp import FastMCP

# This server exposes 5 tool(s) via MCP
# See server.py for full implementation

License

MIT © MEOK AI Labs

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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.

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