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cognee-mcp-server

by MCP-Mirror

An MCP server designed for cognee, an AI memory engine. It provides tools to build knowledge graphs and perform searches within them.

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What is cognee-mcp-server?

This is an MCP (Memory and Cognition Platform) server for cognee, an AI memory engine. It allows you to build knowledge graphs from text and perform searches within those graphs.

How to use cognee-mcp-server?

To use this server, you'll need to configure it with Claude Desktop by adding the provided configuration snippet to your claude_desktop_config.json file. Ensure you have uv installed and adjust the paths and environment variables (API keys, database settings) accordingly.

Key features of cognee-mcp-server

  • Knowledge graph construction from text input

  • Search functionality within the knowledge graph

  • Custom pydantic graph model implementation support

  • Integration with Claude Desktop

  • Configurable database and vector database providers (e.g., networkx, lancedb, sqlite)

Use cases of cognee-mcp-server

  • Semantic search and information retrieval

  • Building AI-powered knowledge bases

  • Enhancing AI agent memory and reasoning capabilities

  • Contextual understanding and analysis

  • Question answering systems

FAQ from cognee-mcp-server

What is MCP?

MCP stands for Memory and Cognition Platform.

What is cognee?

cognee is an AI memory engine.

What is a knowledge graph?

A knowledge graph is a structured representation of facts and relationships between entities.

What database providers are supported?

The server supports configurable database providers like networkx, lancedb, and sqlite.

How do I configure the server?

Configuration is done through the claude_desktop_config.json file, specifying command arguments and environment variables.