#mcp

Set up Playwright MCP with Claude Code, run it in CI, and store the results across runs. A complete guide to the browser-automation agentic loop.

Wire Playwright MCP into Claude Code, then close the loop with Gaffer's MCP so the agent reads CI results, spots flaky failures, and iterates.

GitHub Agentic Workflows let AI agents run as CI. Here's how we connected Gaffer's MCP server for automated weekly test health reviews.

AI coding tools know your code but not your tests. Test intelligence via MCP bridges the gap with flaky detection, failure clustering, and coverage data.

Claude Code, Cursor, and Windsurf can query your test history, find flaky tests, and diagnose failures — if you give them structured data. Here's how.

Agents write code and run tests. But when tests fail, they're flying blind. Here's how test intelligence closes the loop.

Dogfooding Gaffer's MCP coverage tools on our own codebase.

Using Gaffer's own analytics to find and fix slow E2E tests. Here's what I found and how I fixed it.