Vector Knowledge Graph Mcp

csoai-org/vector-knowledge-graph-mcp

Gives your Claude agent a vector-backed knowledge graph you can build on the fly. You get three core operations: add_node to drop in entities, add_edge to wire relationships, and semantic_node_search to query by meaning instead of exact match. Built by MEOK AI Labs, ships as a stdio MCP server you install via uvx or pip. Useful when you're having multi-turn conversations that need to remember structured facts and traverse connections between them, like tracking project dependencies, mapping concept relationships, or building up a session-scoped memory layer. The vector search means you can ask for "database performance" and pull back nodes about indexes, query optimization, and caching without hardcoding synonyms.

tools

3

transport

STDIO

last updated

Aug 19, 2026

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# Install via pip
pip install vector_knowledge_graph_mcp

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