QA.tech + MCP Server
QA.tech's MCP server exposes your test cases, runs, and applications to any AI client that speaks the Model Context Protocol. It's available at api.qa.tech/v1/mcp, OAuth-authenticated, and scoped to what your account can access. Your editor or assistant can then answer "what runs failed today?" or rerun the failed cases from a specific run.
What you can do
- Query run status from Cursor, Claude, or any MCP client
- Rerun failed cases without opening the dashboard
- Pull test data into your own AI workflows
Set it up
Connecting MCP Server
- 01
Add api.qa.tech/v1/mcp as a remote MCP server in your client.
- 02
Complete the OAuth flow; access is scoped to your QA.tech account.
- 03
Ask your assistant about runs, cases, or applications to confirm.
- 04
New to MCP? Start with our Playwright MCP guide for the concepts.
Full reference in the QA.tech docs.
Where teams use this
MCP Server in practice
This is the read-and-control side of our MCP product. The strongest pattern is the AI coding loop: an agent writes code, checks whether tests pass over MCP, and iterates, which turns test status into a signal AI tools can act on rather than a report humans read later. It also drives test generation from your AI tools: describe the flow in your editor and the case lands in QA.tech.
FAQ
Common questions
- How is access controlled?
- OAuth, scoped to what the authenticated user can already access in QA.tech.
- Which clients work?
- Anything that speaks MCP: Cursor, Claude, and others.
Related integrations
Microsoft Teams
Next →Custom MCP Integrations
Your team moves fast. Can your testing keep up?
QA.tech agents test your product autonomously, so moving fast never means shipping broken. See how it works in a 30-minute demo.