Cognee认知助手
STDIO用于认知处理的MCP服务器项目
用于认知处理的MCP服务器项目
Please refer to our documentation here for further information.
Clone the cognee repo
Install dependencies
brew install uv
cd cognee-mcp uv sync --dev --all-extras --reinstall
source .venv/bin/activate
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.
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.
python src/server.py
python src/server.py --transport sse
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 folderuv sync --dev --all-extras --reinstall
mcp dev src/server.py
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
to
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" }