cognee-mcp-server
Created at 2 months ago
by topoteretes
Categories
Tags
cognee
mcp-server
ai-memory-engine
what is cognee-mcp-server?
The cognee-mcp-server is a server designed for 'cognee', an AI memory engine that builds a knowledge graph from user-input text and facilitates searching within it.
how to use cognee-mcp-server?
To use the cognee-mcp-server, configure it according to your environment, including setting up necessary parameters in the claude_desktop_config.json
, and run it with the specified commands related to your installation path.
key features of cognee-mcp-server?
- Constructs knowledge graphs based on textual input.
- Allows for searching within the generated knowledge graph.
- Supports custom graph model implementations through flexible configuration options.
use cases of cognee-mcp-server?
- Enhancing AI systems with memory by building contextual knowledge graphs.
- Performing efficient searches across complex datasets based on user queries.
- Supporting applications needing robust data retrieval and organization capabilities.
FAQ from cognee-mcp-server?
- What is required to run cognee-mcp-server?
You will need to configure the server with your API key and local paths, and it works with various database providers.
- Can I use custom models with cognee-mcp-server?
Yes, you can use your own Pydantic graph model implementations by specifying the filenames and class names in the configuration.
- Is cognee-mcp-server compatible with existing AI frameworks?
Yes, it is designed to integrate smoothly with systems like Claude Desktop and can be adapted for other AI frameworks.
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