topoteretes/cognee
Apache-2.0API key required📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Install
npx -y topoteretes-cogneeRequired environment variables
LLM_API_KEYSet in your MCP configOPENAI_API_KEYSet in your MCP configCOGNEE_API_KEYSet in your MCP configclaude_desktop_config.json
{
"mcpServers": {
"topoteretes-cognee": {
"command": "npx",
"args": [
"-y",
"topoteretes-cognee"
],
"env": {
"LLM_API_KEY": "<YOUR_LLM_API_KEY>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"COGNEE_API_KEY": "<YOUR_COGNEE_API_KEY>"
}
}
}
}Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
What this does
topoteretes/cognee exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into other AI providers and LLM tooling without copy-pasting context every turn.
Requirements
This server needs the following environment variables to be set before it can run:
LLM_API_KEY OPENAI_API_KEY COGNEE_API_KEY
Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).
Common use cases
- •Delegate reasoning to a different model or LLM provider from a Claude session
- •Pull live model documentation, rate limits, or usage data into context
- •Chain Claude with another agent or evaluation pipeline
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