Vector Knowledge Graph Mcp

Overview

Vector Knowledge Graph Mcp is a Model Context Protocol (MCP) server: AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node. In practice that means any MCP-compatible AI assistant can call Vector Knowledge Graph Mcp's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package vector-knowledge-graph-mcp (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v1.0.10, with source at CSOAI-ORG/vector-knowledge-graph-mcp on GitHub.

Vector Knowledge Graph Mcp is listed under Memory on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Vector Knowledge Graph Mcp for CSOAI-ORG, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "vector_knowledge_graph_mcp": {
      "command": "uvx",
      "args": [
        "vector-knowledge-graph-mcp"
      ]
    }
  }
}