PR Recommender

Overview

The MCP PR Recommender is an intelligent PR boundary detection and recommendation system designed to analyze git changes and generate atomic, logically-grouped pull request (PR) recommendations. It aims to optimize code review efficiency and deployment safety by providing structured PR suggestions with titles, descriptions, and rationale.

Features

• Generate PR recommendations from git analysis data.
• Analyze feasibility and risks of specific PR recommendations.
• Retrieve available PR grouping strategies and settings.
• Validate generated PR recommendations for quality, completeness, and atomicity.
• Supports both STDIO and HTTP transport protocols for flexible integration.

Usage

The server can be run in different modes:

• STDIO mode: For direct MCP client connections.
• HTTP mode: For integration with MCP Gateway or other HTTP clients.

Running the server

# Run in STDIO mode (default)
python -m mcp_pr_recommender.main --transport stdio

# Run in HTTP mode
python -m mcp_pr_recommender.main --transport streamable-http --host 127.0.0.1 --port 9071

Input and Output

• Input: Expects git analysis data from the mcp_local_repo_analyzer project.
• Output: Structured PR recommendations including grouping, titles, descriptions, and rationale.

Tools Provided

• generate_pr_recommendations: Generate PR recommendations from git analysis.
• analyze_pr_feasibility: Analyze feasibility and risks of PR recommendations.
• get_strategy_options: Get available grouping strategies.
• validate_pr_recommendations: Validate PR recommendations for quality.

License

Apache-2.0 License

Author

Manav Gupta <[email protected]>