cognee-mcp-server
About
cognee-mcp-server is an MCP server for cognee, an AI memory engine. It provides a tool that builds a knowledge graph from input text and performs search within that graph, intended for developers integrating memory capabilities into AI assistants.
Details
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- MCP-Mirror
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- Builds knowledge graphs from input text
- Performs search within constructed knowledge graphs
- Supports custom Pydantic graph models
- Configurable with Claude Desktop via uvx
- Uses multiple database providers (NetworkX, LanceDB, SQLite)
Install with uv (Python package manager) and configure in Claude Desktop by adding an entry to claude_desktop_config.json using uvx. Invoke the Cognify_and_search tool with required inputs text and search_query, and optional graph_model_file and graph_model_name for a custom Pydantic graph model.
cognee-mcp-server
An MCP server for cognee, an AI memory engine.
Tools
- Cognify_and_search : Builds knowledge graph from the input text and performs search in it.
- Inputs:
- text (String): Context for knowledge graph contstruction
- search_query (String): Query for retrieval
- graph_model_file (String, optional): Filename of a custom pydantic graph model implementation
- graph_model_name (String, optional): Class name of a custom pydantic graph model implementation
- Output:
- Retrieved edges of the knowledge graph
Configuration
Usage with Claude Desktop
Install uv with homebrew.
Add this to your claude_desktop_config.json:
<details>
<summary>Using uvx</summary>
"mcpcognee": {
"command": "uv",
"args": [
"--directory",
"/path/to/your/cognee-mcp-server",
"run",
"mcpcognee"
],
"env": {
"ENV": "local",
"TOKENIZERS_PARALLELISM": "false",
"LLM_API_KEY": “your llm api key”,
"GRAPH_DATABASE_PROVIDER": “networkx”,
"VECTOR_DB_PROVIDER": "lancedb",
"DB_PROVIDER": "sqlite",
"DB_NAME": “cognee_db”
}
}
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