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Roo Code Integration

Roo provides a convenient interface to interact with cognee’s MCP server—much like Cline but with its own approach. This guide will walk you through setting up Roo in Visual Studio Code and configuring cognee’s MCP server, allowing you to generate knowledge graphs from your Python projects, perform deep code searches, and more.

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Why Use Roo?

Roo is designed to make natural language interactions possible within your development environment. Instead of juggling multiple terminals or external tools, you can directly send requests to cognee through Roo to:
  • Analyze complex codebases
  • Construct visual dependency maps
  • Retrieve relevant code snippets for review or refactoring
By combining Roo and cognee, you get an all-in-one solution for deeply understanding and maintaining large repositories.

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Prerequisites

Before proceeding, ensure you have:
  1. Visual Studio Code installed.
  2. A local copy of the cognee repository.
  3. An LLM API key (default setup requires OpenAI).
Let’s get started step by step.

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