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rag-knowledge-mcp

v1.0.0

Published

MCP server for rag knowledge. Features semantic search, knowledge graph query, index document. From MEOK AI Labs.

Vulnerabilities

Powered byPowered by Snyk
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  • 0Medium
  • 0Low

Links

Git

Maintainers

csga_globalcsga_global

Keywords

mcpaimeok

Readme

Rag Knowledge

By MEOK AI Labs — MEOK AI Labs MCP Server

RAG Knowledge Graph MCP Server

Installation

pip install rag-knowledge-mcp

Usage

# Run standalone
python server.py

# Or via MCP
mcp install rag-knowledge-mcp

Tools

semantic_search

Semantic search over indexed documents.

Parameters:

  • query (str)
  • top_k (int)

knowledge_graph_query

Query the knowledge graph by entity and optional relation.

Parameters:

  • entity (str)
  • relation (str)

index_document

Index a document into vector store and knowledge graph.

Parameters:

  • title (str)
  • text (str)
  • doc_id (str)

extract_entities_tool

Extract regulatory entities from text.

Parameters:

  • text (str)

cross_reference

Find cross-references between two frameworks for a term.

Parameters:

  • term (str)
  • framework_a (str)
  • framework_b (str)

Authentication

Free tier: 15 calls/day. Upgrade at meok.ai/pricing for unlimited access.

Links

License

MIT — MEOK AI Labs