MCP server · for AI coding agents

    Your coding agent can now
    test what it builds.

    Connect QA.tech's vision-based testing agents to Cursor, Claude Code, or any MCP client.
    Your coding agent runs, creates, and validates tests without leaving the editor.

    Get a demo

    Trusted by high-performing engineering teams at:

    Nordea
    PricerCase study
    AstraZeneca
    UpsalesCase study
    Sambla
    RecruitNow
    AdminPulse
    MeetingPackage
    Qred
    BizBrains

    AI doubled your engineering velocity.
    QA didn't move.

    Your team writes code at agent speed. Tests still get written by hand, break on every UI change, and live one tab away from where the code happens. The MCP server closes that gap. Tests run, get created, and report back in the same editor – called by the same agent that just shipped the change.

    And because QA.tech's agents see your UI the way users do, a refactor doesn't trigger a red build. The suite stays green because the experience stayed correct.

    Code shipped this weekat agent speed
    Tests shipped this weekby hand
    320h/mo
    QA time saved

    "We have replaced over 320h of manual testing every month with QA.tech."

    Fredrik Seidl
    Fredrik Seidl – CTO at Upsales
    Upsales is a SaaS platform for CRM, marketing automation & Sales in B2B. ~150 employees.
    Read their story

    Things your agent now controls.

    Sixteen tools, designed to live alongside the other MCP servers in your editor. Cursor's tool budget is finite – every one of these earns its place.

    start_runlist_runsget_runcreate_chatcreate_test_caselist_application_environmentsget_environmentcreate_remote_tunnel+ 8 more

    Run tests on demand

    start_runlist_runsget_run

    Your agent triggers a full test plan after it ships a change – or just the 3 tests touching the file it edited. Results stream back into the chat.

    Run the checkout regression suite against the staging preview

    Create tests from chat

    create_chatcreate_test_case

    Your agent describes a flow in plain English; QA.tech generates the test and adds it to your plan. Net new coverage with no test-author bottleneck.

    Add a test for the new SSO login path I just merged

    Manage environments

    list_application_environmentsget_environment

    Switch which environment your tests run against – staging, preview, prod – without touching the app. Useful for ad-hoc PR-style validation.

    Run smoke tests against the preview URL Vercel just deployed

    Tunnel to local dev

    create_remote_tunnel

    Open a secure tunnel so QA.tech agents can test your local dev server. Validate a change before you even commit.

    Open a tunnel and run login against localhost:3000

    What happens when your agent calls QA.tech.

    1. 01

      Your agent calls.

      Cursor, Claude Code, or any MCP client invokes one of QA.tech's 16 tools – start_run, create_chat, and others.

    2. 02

      QA.tech does the work.

      Tests run, get created, or get queried in our secure cloud. No infrastructure on your side. Our agents test what users see, not the DOM they happen to render.

    3. 03

      Results stream back.

      Pass/fail, screenshots, reasoning, links to full traces – delivered into the same chat your agent is in.

    Works with

    WebWeb
    Mobile webMobile web
    iOS AppsiOS Apps
    Android AppsAndroid Apps

    Ready to end the QA bottleneck?

    See how QA.tech agents test your product in a 30-minute demo – and leave with a plan to reclaim those hours.

    Get a demo

    FAQ

    Agentic testing is software testing run by AI agents that behave like real users – navigating the UI, exercising flows, validating outcomes – without anyone scripting selectors or maintaining brittle test code. The agent decides what to test, runs it, and reports back.

    MCP (Model Context Protocol) is the standard that lets those agents be called by other agents – including the coding agent in your editor. With QA.tech's MCP server, Cursor or Claude Code can trigger runs, create tests, and pull failure analysis directly. The agents see your UI the way users do, so tests stay green through refactors instead of breaking on every selector change.

    Latest changes: MCP – Connect AI coding tools to QA.tech with one command.