Cognee MCP Server

Cognee MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning.

What you get

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Cognee is an open-source AI memory platform for AI Agents. Ingest data in any format, and Cognee continuously builds a self-hosted knowledge graph that gives your agents persistent long-term memory across sessions. Cognee combines vector embeddings, graph reasoning, and cognitive-science-grounded ontology generation to make documents both searchable by meaning and connected by relationships that evolve as your knowledge does.

• Easily Build Company Brain - unify data from various sources in one place and enable Agents with your domain knowledge
• Knowledge infrastructure — unified ingestion, graph/vector search, runs locally, ontology grounding, multimodal
• Persistent and Learning Agents - learn from feedback, context management, cross-agent knowledge sharing
• Reliable and Trustworthy Agents - agentic user/tenant isolation, traceability, OTEL collector, audit traits

What the assistant can call

Once Cognee is connected, these are the calls the assistant has available:

• Prerequisites — The Prerequisites tool exposed by this server
• Contributing — We welcome contributions from the community! Your input helps make Cognee better for everyone. See CONTRIBUTING.md to get started

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Configuration and credentials

You will need 5 environment variables: LLM_API_KEY, COGNEE_BASE_URL, COGNEE_API_KEY, OPENAI_API_KEY, YOUR_OPENAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

• Python 3.10 to 3.14

Choosing this one

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Cognee's toolset — Prerequisites, Contributing — is a fair guide to whether it matches your workflow. It is maintained by Vasilije Markovic, Boris Arzentar; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

• Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the cognee mcp server does with a few real requests.