Gaffer

About

The Gaffer MCP server integrates AI coding assistants such as Claude Code and Cursor directly with your Gaffer test history and code coverage information. It empowers AI to analyze your project's test health, identify flaky tests, understand failure trends, and pinpoint untested code areas. This integration provides crucial context for debugging and helps AI agents efficiently navigate test reports and project data to streamline development workflows.

Key Features

• 0 GitHub stars
• Access project health metrics including pass rate, flaky tests, and trends
• Retrieve historical pass/fail data for specific tests to understand stability
• Analyze code coverage summaries and identify untested files or areas
• Group failed tests by root cause using error message similarity
• Provide browser-navigable URLs for viewing detailed test reports

Use Cases

• Diagnose CI failures by listing failed runs, grouping errors, and checking test history
• Monitor the upload and processing status of CI results for specific commits
• Identify and prioritize coverage gaps to improve test suite quality and reduce risk