yellhorn mcp

Local 2025-09-01 00:04:46 0
Developer Tools @msnidal/yellhorn-mcp

An MCP server that connects Gemini 2.5 Pro to Claude Code, enabling users to generate detailed implementation plans based on their codebase and receive feedback on code changes.


Yellhorn Logo

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

Features

  • Generate workplans: Creates GitHub issues with detailed implementation plans based on your codebase, with customizable title and detailed description
  • Isolated Development Environments: Creates Git worktrees and linked branches for streamlined, isolated development workflow (can be done separately from workplan generation)
  • Review Code Diffs: Evaluates pull requests against the original workplan with full codebase context and provides detailed feedback
  • Seamless GitHub Integration: Automatically creates labeled issues with proper branch linking in the GitHub UI, posts reviews as PR comments with references to original issues, and handles asynchronous processing
  • Context Control: Use .yellhornignore files to exclude specific files and directories from the AI context, similar to .gitignore
  • MCP Resources: Exposes workplans as standard MCP resources for easy listing and retrieval

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 workplan with title "[Your Title]" and detailed description "[Your detailed requirements]"
  1. Create a worktree for the workplan (optional):
Please create a worktree for issue #123
  1. Navigate to the created worktree directory:
cd [worktree_path]  # The path is returned in the response
  1. View the workplan if needed:
# Option 1: From the worktree directory (auto-detects issue number)
# While in the worktree directory
Please get the current workplan for this worktree

# Option 2: From the main repository (requires explicit issue number)
# You do not need to be in the worktree directory
Please get the workplan for issue #123
  1. Make your changes, create a PR, and request a review:
# First create a PR using your preferred method (Git CLI, GitHub CLI, or web UI)
git add .
git commit -m "Implement feature"
git push origin HEAD
gh pr create --title "[PR Title]" --body "[PR Description]"

# Option 1: From the worktree directory (auto-detects issue number)
# While in the worktree directory, ask Claude to review it
Please trigger a review for PR "[PR URL]" against the original workplan

# Option 2: From the main repository (requires explicit issue number)
# You do not need to be in the worktree directory
Please trigger a review for PR "[PR URL]" against the workplan in issue #123

Tools

generate_workplan

Creates a GitHub issue with a detailed workplan based on the title and detailed description.

Input:

  • title: Title for the GitHub issue (will be used as issue title and header)
  • detailed_description: Detailed description for the workplan

Output:

  • JSON string containing:
  • issue_url: URL to the created GitHub issue
  • issue_number: The GitHub issue number

create_worktree

Creates a git worktree with a linked branch for isolated development from an existing workplan issue.

Input:

  • issue_number: The GitHub issue number for the workplan

Output:

  • JSON string containing:
  • worktree_path: Path to the created Git worktree directory
  • branch_name: Name of the branch created for the worktree
  • issue_url: URL to the associated GitHub issue

get_workplan

Retrieves the workplan content (GitHub issue body) associated with a workplan. Can be run from a worktree (auto-detects issue) or the main repo (requires explicit issue_number).

Input:

  • issue_number: Optional issue number for the workplan. Required if run outside a Yellhorn worktree.

Output:

  • The content of the workplan issue as a string

review_workplan

Triggers an asynchronous code review for a Pull Request against its original workplan issue. Can be run from a worktree (auto-detects issue) or the main repo (requires explicit issue_number).

Input:

  • pr_url: The URL of the GitHub Pull Request to review
  • issue_number: Optional issue number for the workplan. Required if run outside a Yellhorn worktree.

Output:

  • A confirmation message that the review task has been initiated

Resource Access

Yellhorn MCP also implements the standard MCP resource API to provide access to workplans:

  • list-resources: Lists all workplans (GitHub issues with the yellhorn-mcp label)
  • get-resource: Retrieves the content of a specific workplan by issue number

These can be accessed via the standard MCP CLI commands:

# List all workplans
mcp list-resources yellhorn-mcp

# Get a specific workplan by issue number
mcp get-resource yellhorn-mcp 123

Development

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

# Run tests
pytest

CI/CD

The project uses GitHub Actions for continuous integration and deployment:

  • Testing: Runs automatically on pull requests and pushes to the main branch
  • Linting with flake8
  • Format checking with black
  • Testing with pytest

  • Publishing: Automatically publishes to PyPI when a version tag is pushed

  • Tag must match the version in pyproject.toml (e.g., v0.2.2)
  • Requires a PyPI API token stored as a GitHub repository secret (PYPI_API_TOKEN)

To release a new version:

  1. Update version in pyproject.toml
  2. Commit changes: git commit -am "Bump version to X.Y.Z"
  3. Tag the commit: git tag vX.Y.Z
  4. Push changes and tag: git push && git push --tags

For more detailed instructions, see the Usage Guide.

License

MIT