mcp-extent 0.1.0

MCP server for reading Extent Reports in LLM-friendly format

Extent Report MCP Server

This is a Model Context Protocol (MCP) server that enables AI assistants (like Claude, Cursor, and QAFlow) to read, analyze, and understand Extent Reports.

Features

• Parse Extent Reports (JSON and Spark HTML formats)
• Extract test summaries (Pass/Fail/Skip rates)
• Retrieve detailed failure analysis including stack traces
• Compare reports to identify regressions

Installation

# Install with uv (recommended)
uv tool install mcp-extent

# Or install with pip
pip install mcp-extent

Usage (Local Development)

Since you are running this from source, add the total path to your configuration:

{
  "mcpServers": {
    "mcp-extent": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "D:/mcp-extent", 
        "mcp-extent"
      ]
    }
  }
}

Note: Adjust the path D:/mcp-extent if you move the project.

Tools

• get_extent_report: Parse full report
• get_test_summary: Get high-level stats
• get_failed_tests: Get detailed failure info
• analyze_failures: Pattern matching for failures
• compare_reports: Compare two report runs