QA Radar
Tells AI agents which files to test first — churn, coverage, and test mapping as risk scores.
What is QA Radar?
QA Radar is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to tells ai agents which files to test first — churn, coverage, and test mapping as risk scores.
Tells AI agents which files to test first — churn, coverage, and test mapping as risk scores.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Tells AI agents which files to test first — churn, coverage,
Use Cases
Maintainer
Works with
Installation
PIP
pip install qaradarManual Installation
pip install qaradarConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about QA Radar
What is QA Radar?
QA Radar is a Model Context Protocol (MCP) server that tells ai agents which files to test first — churn, coverage, and test mapping as risk scores. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install QA Radar?
Install via pip with: pip install qaradar. Then configure your AI client to connect to this MCP server.
Which AI clients work with QA Radar?
QA Radar works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is QA Radar free to use?
Yes, QA Radar is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Developer Tools MCP Servers
Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up QA Radar in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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