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cognee-mcp-server

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Overview

The cognee-mcp-server is a server designed for 'cognee', an AI memory engine that builds a knowledge graph from user-input text and facilitates searching within it.

To use the cognee-mcp-server, configure it according to your environment, including setting up necessary parameters in the claude_desktop_config.json, and run it with the specified commands related to your installation path.

  • Constructs knowledge graphs based on textual input. - Allows for searching within the generated knowledge graph. - Supports custom graph model implementations through flexible configuration options.
  1. Enhancing AI systems with memory by building contextual knowledge graphs.
  2. Performing efficient searches across complex datasets based on user queries.
  3. Supporting applications needing robust data retrieval and organization capabilities.

Add to your AI client

Use these steps to connect cognee-mcp-server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "cognee-mcp-server-topoteretes": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-cognee-mcp-server-topoteretes"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "cognee-mcp-server-topoteretes": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-cognee-mcp-server-topoteretes"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "cognee-mcp-server-topoteretes": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-cognee-mcp-server-topoteretes"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "cognee-mcp-server-topoteretes": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-cognee-mcp-server-topoteretes"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "cognee-mcp-server-topoteretes": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-cognee-mcp-server-topoteretes"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "cognee-mcp-server-topoteretes": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-cognee-mcp-server-topoteretes"
      ]
    }
  }
}

FAQ

What is required to run cognee-mcp-server?

You will need to configure the server with your API key and local paths, and it works with various database providers.

Can I use custom models with cognee-mcp-server?

Yes, you can use your own Pydantic graph model implementations by specifying the filenames and class names in the configuration.

Is cognee-mcp-server compatible with existing AI frameworks?

Yes, it is designed to integrate smoothly with systems like Claude Desktop and can be adapted for other AI frameworks.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":477,"uuid":"c6dce01d-1d38-4c4a-b061-253190bc3a58","name":"cognee-mcp-server","title":"cognee-mcp-server","description":null,"avatar_url":"https://avatars.githubusercontent.com/u/125468716?v=4","created_at":"2024-12-19T02:14:17.301Z","updated_at":"2024-12-19T12:38:59.212Z","status":"created","author_name":"topoteretes","author_avatar_url":"https://avatars.githubusercontent.com/u/125468716?v=4","tags":"cognee,mcp-server,ai-memory-engine","category":"knowledge-and-memory","is_featured":false,"sort":1,"url":"https://github.com/topoteretes/cognee-mcp-server","target":"_self","content":"$29","summary":"$2a","img_url":null,"type":null,"metadata":null,"user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Knowledge and memory