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Graph-Mem

MCP server · by Sathvik-1007

Search & Research
Python
v1.0.0

Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.

View source ↗Website ↗More servers

Install

Run one of the commands below, then add the client config underneath.

Python
uvx graphmem-mcp

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers
{
  "mcpServers": {
    "graphmem-mcp": {
      "command": "uvx",
      "args": [
        "graphmem-mcp"
      ]
    }
  }
}

About this server

Graph-Mem is listed in the Search & Research 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 Graph-Mem MCP server?＋

Graph-Mem is an MCP server by Sathvik-1007. Persistent knowledge-graph memory for AI agents, with local semantic search. No API keys.

How do I install Graph-Mem?＋

Install it with: uvx graphmem-mcp. Then add the JSON config to your client's MCP settings and restart the client.

Is Graph-Mem free to use?＋

The MCP server itself is free to install. The source is public on https://github.com/Sathvik-1007/GraphMem-MCP. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Graph-Mem?＋

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.