What does the Cognify_and_search tool do?
It constructs a knowledge graph from the provided text and then performs a search using the given query, returning the matching edges of the graph.
@topoteretes
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryBuilds knowledge graph from the input text and performs search in it.
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, returning retrieved edges.
Configure it in your Claude Desktop client (claude_desktop_config.json) using uvx. Set the required environment variables (e.g., LLM_API_KEY, GRAPH_DATABASE_PROVIDER, VECTOR_DB_PROVIDER, DB_PROVIDER, DB_NAME). Invoke the Cognify_and_search tool with the text and search query as inputs.
It constructs a knowledge graph from the provided text and then performs a search using the given query, returning the matching edges of the graph.
Yes. You can optionally provide a `graph_model_file` (filename of a custom Pydantic graph model implementation) and `graph_model_name` (the class name) to customize the graph structure.
You must set `LLM_API_KEY`, `GRAPH_DATABASE_PROVIDER`, `VECTOR_DB_PROVIDER`, `DB_PROVIDER`, and `DB_NAME`. Example values: networkx, lancedb, sqlite.
It requires Python and uv (for running via uvx). The optional custom graph model feature depends on a Pydantic implementation.

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