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Aiden-Jeon

Sentiment Analysis MCP Server

by Aiden-Jeon
README.md2.09 kB
# Module 1: Basic MCP Server - Starter Code Welcome to Module 1! In this module, you'll build a basic MCP server that helps developers create better pull requests by analyzing code changes and suggesting appropriate templates. ## Your Task Implement an MCP server with three tools: 1. **analyze_file_changes** - Retrieve git diff information and changed files 2. **get_pr_templates** - List available PR templates 3. **suggest_template** - Allow Claude to suggest the most appropriate template ## Setup ### 1. Install uv Follow the official installation instructions at: https://docs.astral.sh/uv/getting-started/installation/ ### 2. Install dependencies ```bash # Install all dependencies uv sync # Or install with dev dependencies for testing uv sync --all-extras ``` ### 3. Start implementing! Open `server.py` and follow the TODO comments to implement each tool. **Note**: The starter code includes stub implementations that return "Not implemented" errors. This allows you to: - Run the server immediately - Test your setup with Claude - Replace each stub with your actual implementation - See helpful hints about what each tool should do ## Design Philosophy Instead of using rigid rules based on file extensions or patterns, your tools should provide Claude with raw git data and let Claude's intelligence determine: - What type of change is being made - Which template is most appropriate - How to customize the template for the specific changes ## Testing Your Implementation 1. Run the unit tests: ```bash uv run pytest test_server.py -v ``` 2. Configure the MCP server in Claude Code: ```bash # Add the MCP server claude mcp add pr-agent -- uv --directory /absolute/path/to/module1/starter run server.py # Verify it's configured claude mcp list ``` 3. Make some changes in a git repository and ask Claude to analyze your changes and suggest a PR template ## Need Help? - Check the solution in `../solution/` if you get stuck - Remember: The goal is to give Claude the data it needs, not to implement complex logic yourself

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