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Yellhorn MCP server uses Gemini 2.5 pro to generate detailed work plans and review pull requests.

Project description

Yellhorn MCP

Yellhorn Logo

A Model Context Protocol (MCP) server that exposes Gemini 2.5 Pro capabilities to Claude Code for software development tasks.

Features

  • Generate Work Plans: Creates GitHub issues with detailed implementation plans based on your codebase
  • Review Code Diffs: Evaluates pull requests against the original work plan and provides feedback
  • Seamless GitHub Integration: Automatically creates issues, posts reviews as PR comments, and handles asynchronous processing

Installation

# Install from PyPI
pip install yellhorn-mcp

# Install from source
git clone https://github.com/msnidal/yellhorn-mcp.git
cd yellhorn-mcp
pip install -e .

Configuration

The server requires the following environment variables:

  • GEMINI_API_KEY: Your Gemini API key (required)
  • REPO_PATH: Path to your repository (defaults to current directory)
  • YELLHORN_MCP_MODEL: Gemini model to use (defaults to "gemini-2.5-pro-exp-03-25")

The server also requires the GitHub CLI (gh) to be installed and authenticated.

Usage

Running the server

# As a standalone server
yellhorn-mcp --repo-path /path/to/repo --host 127.0.0.1 --port 8000

# Using the MCP CLI
mcp dev yellhorn_mcp.server

# Install as a permanent MCP server for Claude Desktop
mcp install yellhorn_mcp.server

# Set environment variables during installation
mcp install yellhorn_mcp.server -v GEMINI_API_KEY=your_key_here -v REPO_PATH=/path/to/repo

Integration with Claude Code

When working with Claude Code, you can use the Yellhorn MCP tools by:

  1. Starting a project task:

    Please generate a work plan for implementing [your task description]
    
  2. Reviewing your implementation:

    Please review my changes against the work plan from [GitHub issue URL]
    

Tools

generate_work_plan

Creates a GitHub issue with a detailed work plan based on the task description and your codebase.

Input:

  • task_description: Description of the task to implement

Output:

  • issue_url: URL to the created GitHub issue

review_work_plan

Reviews a pull request against the original work plan and provides feedback. Works with GitHub URLs for both the work plan issue and the PR.

Input:

  • work_plan_issue_url: GitHub issue URL containing the work plan
  • pull_request_url: GitHub PR URL containing the changes to review
  • ctx: Server context

Output:

  • Asynchronously posts a review directly to the PR

Development

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

For more detailed instructions, see the Usage Guide.

License

MIT

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