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Hackage Documentation MCP

by apenugon

This Machine-Controlled Program (MCP) provides an interface for AI assistants to access Haskell documentation from Hackage. It allows AI models to retrieve precise, up-to-date documentation for specific Haskell modules, improving the AI's ability to assist with Haskell programming.

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What is Hackage Documentation MCP?

The Hackage Documentation MCP is a tool that allows AI assistants to retrieve Haskell documentation from Hackage. It bridges the gap of insufficient Haskell training data for AI models by providing real-time access to authoritative documentation.

How to use Hackage Documentation MCP?

First, ensure you have Python 3.7+ installed and install the required dependencies using pip install httpx beautifulsoup4 fastmcp. Then, run the server using python main.py. The MCP exposes the get_docs(package, version, module) tool, which retrieves documentation for a specific Haskell module.

Key features of Hackage Documentation MCP

  • Retrieve documentation for specific modules from any package on Hackage

  • Specify exact package versions to ensure accuracy

  • Clean, text-based output easily consumable by AI assistants

  • Uses the MCP protocol for integration with AI assistants

Use cases of Hackage Documentation MCP

  • Learning Haskell libraries: Get detailed information about specific modules while working with the AI

  • Understanding type signatures: Access accurate type information for functions in Haskell modules

  • Exploring module hierarchies: Understand how modules are organized within Haskell packages

  • Verifying AI-generated code: Compare AI suggestions with official documentation

FAQ from Hackage Documentation MCP

Does this tool provide implementation code?

No, it only provides documentation content, not the implementation code.

Does this tool require an internet connection?

Yes, it requires an internet connection to access Hackage.

Is the documentation quality consistent across all packages?

No, documentation quality varies between Haskell packages.

Can I contribute to this project?

Yes, contributions to improve this tool are welcome! Potential areas for enhancement include adding support for downloading and parsing package source code, implementing caching, and expanding to support other Haskell documentation sources.

What versions of Python are supported?

Python 3.7 or higher is required.