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vector-knowledge-graph-mcp

v1.0.0

Published

AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node search. By MEOK AI Labs.

Downloads

54

Vulnerabilities

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Links

Git

Maintainers

csga_globalcsga_global

Keywords

mcpaimeok

Readme

Vector Knowledge Graph

By MEOK AI Labs — MEOK AI Labs MCP Server

Vector Knowledge Graph MCP Server — Neo4j-style graph + vector hybrid for compliance reasoning.

Installation

pip install vector-knowledge-graph-mcp

Usage

# Run standalone
python server.py

# Or via MCP
mcp install vector-knowledge-graph-mcp

Tools

add_node

Add a node to the knowledge graph with properties, embeddings, and metadata.

Parameters:

  • label (str)
  • properties (str)
  • node_id (str)

add_edge

Create a directed edge between two nodes with relationship type and weight.

Parameters:

  • from_id (str)
  • to_id (str)
  • relation (str)
  • weight (float)

semantic_node_search

Search for nodes using semantic similarity matching against stored embeddings.

Parameters:

  • query (str)
  • top_k (int)

trace_compliance_chain

Trace the compliance chain from a requirement through controls to evidence.

Parameters:

  • start_node_id (str)
  • max_depth (int)

find_gaps

Find gaps in the knowledge graph where expected relationships or nodes are missing.

Parameters:

  • required_frameworks (str)

Authentication

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

Links

License

MIT — MEOK AI Labs