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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.

Related MCP server: pr-narrator-mcp

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 <manavg@gmail.com>

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