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TestDino MCP is a Model Context Protocol server that lets AI assistants like Cursor or Claude talk directly to your TestDino projects and test data using natural language instead of dashboards and filters. It turns your Playwright test reporting and test management setup into an interactive, AI powered debugging and analysis layer.
What TestDino MCP does
Connects AI to your TestDino runs and cases so you can ask things like “show last 5 runs on main” or “why is login flaky on WebKit?” and get structured answers.
Exposes tools for health checks, listing runs, drilling into run details, filtering test cases (failed, flaky, slow, tagged), and pulling full debug context (logs, traces, screenshots, videos).
Adds AI assisted debugging via debug_testcase, aggregating historical failures, detecting patterns, and returning an AI friendly root cause prompt.
Manages manual test cases and suites from chat: list, search, create, update, and organize them without opening the UI.
How teams use it
SDETs and developers: triage CI failures faster, compare test history across commits, and get code level fix suggestions without leaving the IDE.
QA leads and managers: monitor test health, flaky hotspots, and regression patterns across branches and environments through conversational queries.
With a PAT configured once, any MCP compatible client can spin up the TestDino MCP server via npx testdino-mcp or a global install, and your AI assistant becomes a front end for all your TestDino data.