cognee-mcp

cognee MCP server

Installing Manually

A MCP server project

Clone the cognee repo
Install dependencies

brew install uv

cd cognee-mcp
uv sync --dev --all-extras --reinstall

Activate the venv with

source .venv/bin/activate

Add the new server to your Claude config:

The file should be located here: ~/Library/Application\ Support/Claude/

cd ~/Library/Application\ Support/Claude/

You need to create claude_desktop_config.json in this folder if it doesn't exist Make sure to add your paths and LLM API key to the file bellow Use your editor of choice, for example Nano:

nano claude_desktop_config.json

{
	"mcpServers": {
		"cognee": {
			"command": "/Users/{user}/cognee/.venv/bin/uv",
			"args": [
        "--directory",
        "/Users/{user}/cognee/cognee-mcp",
        "run",
        "cognee"
      ],
      "env": {
        "ENV": "local",
        "TOKENIZERS_PARALLELISM": "false",
        "LLM_API_KEY": "sk-"
      }
		}
	}
}

Restart your Claude desktop.

Installing via Smithery

To install Cognee for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install cognee --client claude

Define cognify tool in server.py Restart your Claude desktop.

To use debugger, run:

mcp dev src/server.py

Open inspector with timeout passed:

http://localhost:5173?timeout=120000

To apply new changes while developing cognee you need to do:

poetry lock in cognee folder
uv sync --dev --all-extras --reinstall
mcp dev src/server.py

Development

In order to use local cognee build, run in root of the cognee repo:

poetry build -o ./cognee-mcp/sources

After the build process is done, change the cognee library dependency inside the cognee-mcp/pyproject.toml from

cognee[postgres,codegraph,gemini,huggingface]==0.1.38

cognee[postgres,codegraph,gemini,huggingface]

After that add the following snippet to the same file (cognee-mcp/pyproject.toml).

[tool.uv.sources]
cognee = { path = "sources/cognee-0.1.38-py3-none-any.whl" }

You must be authenticated.

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

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cognee-mcp

cognee MCP server

Installing Manually

A MCP server project

Installing via Smithery

Development

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