MCP PR Recommender
Intelligent PR boundary detection and recommendation system that analyzes git changes to generate atomic, logically-grouped pull request suggestions with titles, descriptions, and rationale.
README
MCP 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_analyzerproject. - 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 <manavg@gmail.com>
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