Cognee-MCP

What is this MCP

Cognee is a modular memory layer for AI applications and agents, designed to build dynamic agent memory using scalable ECL (Extract, Cognify, Load) pipelines. It helps reduce hallucinations, developer effort, and cost while interconnecting past conversations, documents, and other data.

How to use this MCP

Install via pip (pip install cognee), set up your API keys, and use the provided Python API to add data, cognify (generate knowledge graphs), and query the system. Example code snippets are available in the README.

What this MCP can be used for

Cognee can be used to create reliable AI agent responses by building and querying knowledge graphs from various data sources (text, images, audio). It's useful for NLP tasks, information retrieval, and reducing hallucinations in AI outputs.