MCP Jacoco Reporter

🚀 MCP-JaCoCo

MCP-JaCoCo is a server tool that can convert JaCoCo code coverage reports into a format suitable for large language models (LLMs), making AI-driven analysis more efficient and effective.

🚀 Quick Start

MCP-JaCoCo addresses the challenges in using JaCoCo code - coverage reports with AI tools. As AI and LLMs play an increasingly important role in software development, traditional JaCoCo reports in XML format are not suitable for AI processing. MCP - JaCoCo bridges this gap by converting these reports into an LLM - friendly format, offering significant advantages to development teams.

✨ Features

Why It Matters

As the role of artificial intelligence and large language models in software development grows, traditional JaCoCo code coverage reports - while useful for humans - have an XML format that is not suitable for AI tools to process or analyze. MCP - JaCoCo builds this bridge by converting these reports into an LLM - friendly format, bringing significant advantages to development teams:

• Quickly generate meaningful code coverage summaries.
• Easily identify untested or under - tested code.
• Provide intelligent suggestions for new test cases.
• Automate AI - assisted test planning.
• Simplify the documentation of coverage results.

MCP - JaCoCo helps teams fully leverage the potential of artificial intelligence to improve efficiency and insight in the testing workflow.

Problems Solved

• Complex Format: Simplify JaCoCo's dense XML reports for AI use.
• Scattered Data: Centralize coverage metrics in an easily accessible location.
• Slow Analysis: Reduce time - consuming manual reviews.
• Integration Barriers: Make raw data compatible with AI tools.

Core Features

• Intelligent Conversion: Convert JaCoCo XML reports into an LLM - friendly JSON format.
• Flexible Coverage Types: Support multiple coverage metrics (instructions, branches, lines, 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.

📦 Installation

Install MCP - JaCoCo using uv with the following configuration:

{
  "mcpServers": {
     "mcp-jacoco-reporter-server": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/Users/crisschan/workspace/pyspace/mcp-jacoco-reporter/mcp-jacoco-reporter-server.py"
      ],
      "env": {
        "COVERED_TYPES": "nocovered, partiallycovered, fullcovered"
      },
      "alwaysAllow": [
        "jacoco_reporter_server"
      ]
    }
  }
}

💻 Usage Examples

jacoco_reporter_server

• Reads JaCoCo XML reports and returns code coverage data in JSON format.
• Input:
  • jacoco_xmlreport_path: Path to the JaCoCo XML report (jacoco.xml).
• Output:
  • A string containing formatted JSON data with coverage metrics.

Example output format:

[
    {
        "sourcefile": "PasswordUtil.java",
        "package": "com/cicc/ut/util",
        "lines": {
            "nocovered": [],
            "partiallycovered": []
        },
        "branch": {
            "nocovered": [],
            "partiallycovered": []
        }
    },
    {
        "sourcefile": "UserServiceImpl.java",
        "package": "com/cicc/ut/service/impl",
        "lines": {
            "nocovered": [
                32,
                40,
                51,
                67
            ],
            "partiallycovered": []
        },
        "branch": {
            "nocovered": [],
            "partiallycovered": []
        }
    }
]