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Docfork

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Provides up-to-date documentation for thousands of libraries directly within your AI code editor via the Model Context Protocol.

About

AI code editors often suffer from 'expired knowledge' due to outdated code, stale data, and API ghost towns, leading to inaccurate suggestions and hallucinations. Docfork solves this by acting as a Model Context Protocol (MCP) server that delivers fresh, accurate documentation for over 9000 libraries. It ensures that your AI code editor is always in sync with the latest versions, providing precise descriptions and code examples with sub-second retrieval times, thereby enhancing the accuracy and utility of AI-assisted coding.

Key Features

  • Provides accurate descriptions and code examples
  • 55 GitHub stars
  • Enables sub-second documentation retrieval results
  • Access to fresh documentation for over 9000 libraries
  • Broad integration with popular AI code editors (Cursor, VS Code, Zed, Claude, etc.)
  • Always in sync with the latest library versions

Use Cases

  • Preventing AI hallucinations caused by outdated information
  • Streamlining development workflows in AI-powered IDEs
  • Providing current documentation for AI code generation