AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node
Install
Run one of the commands below, then add the client config underneath.
uvx vector-knowledge-graph-mcpClient configuration
Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.
{
"mcpServers": {
"vector-knowledge-graph-mcp": {
"command": "uvx",
"args": [
"vector-knowledge-graph-mcp"
]
}
}
}About this server
Vector Knowledge Graph Mcp is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Frequently asked questions
What is the Vector Knowledge Graph Mcp MCP server?＋
Vector Knowledge Graph Mcp is an MCP server by CSOAI-ORG. AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node
How do I install Vector Knowledge Graph Mcp?＋
Install it with: uvx vector-knowledge-graph-mcp. Then add the JSON config to your client's MCP settings and restart the client.
Is Vector Knowledge Graph Mcp free to use?＋
The MCP server itself is free to install. The source is public on https://github.com/CSOAI-ORG/vector-knowledge-graph-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Which clients support Vector Knowledge Graph Mcp?＋
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.