mcp-jacoco-reporter
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MCP-JaCoCo is a server tool that converts JaCoCo code coverage reports into formats optimized for Large Language Models (LLMs), making AI-driven analysis easier and more effective.
MCP-JaCoCo is designed to enhance the usability of JaCoCo code coverage reports by transforming them into formats that are more suitable for AI and LLM analysis. Traditional JaCoCo reports, typically in XML format, are not easily digestible by AI tools. MCP-JaCoCo addresses this by converting these reports into JSON format, which is more structured and accessible for AI-driven processes. This transformation allows for quick and meaningful summaries of code coverage, easy identification of untested or poorly tested code, and smart suggestions for new test cases. Additionally, it streamlines AI-assisted test planning and automates the documentation of coverage results. By simplifying complex formats, consolidating scattered data, and reducing the time required for manual reviews, MCP-JaCoCo significantly enhances the efficiency and insight of testing workflows.
Features
- Smart Conversion: Transforms JaCoCo XML reports into LLM-friendly JSON format.
- Flexible Coverage Types: Supports multiple coverage metrics (instruction, branch, line, etc.).
- Efficient Processing: Fast and lightweight report processing.
- Structured Output: Well-organized JSON format for easy AI consumption.
- Customizable Analysis: Filter coverage data by specific metrics of interest.
Tools
jacoco_reporter_server
Reads JaCoCo XML report and returns coverage data in JSON format.
