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Cursor Integration

If you’re looking to unify your code exploration in Python repositories, Cursor provides an intuitive interface to interact with cognee’s MCP server directly.
If you are using Visual Studio Code, you can explore our Roo or Cline integration guides instead.
By integrating Cursor and cognee, you can effortlessly:
  • Generate knowledge graphs from your codebase
  • Access code search capabilities
  • Explore advanced analysis tools without leaving your IDE
Let’s quickly set up cognee’s MCP server in Cursor, ensuring you can query your codebase and retrieve insights.

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Why Use Cognee with Cursor?

Cognee specializes in building detailed knowledge graphs and retrieve accurate data based on user queries. Together with Cursor, you get:
  • Streamlined Development Experience: Interact with cognee’s code analysis directly from Cursor’s Composer.
  • Enhanced Code Understanding: Find out dependencies and relationships in your code base easily, and quickly search across large codebases.
  • Efficiency Gains: No need to switch between terminals or external apps—simply invoke cognee’s powerful tools from within your IDE.

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Prerequisites

Before proceeding, ensure you have the following:
  1. Cursor installed on your machine.
  2. A local copy of the cognee repository.
  3. An LLM API key (default setup uses OpenAI, e.g., sk-...).

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Integration Steps

You’ve now set up cognee’s MCP server with Cursor! Enjoy a richer, more powerful code exploration experience right inside your IDE.

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