Merge with confidence

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Integrate with your coding agent for fast E2E testing

Connect the mabl MCP server or CLI, and your agent can test changes in your target environments and troubleshoot failures. All from your IDE or terminal.

The world's most advanced testing harness

The engineering underneath: independent, reliable, resilient.

  • Per-task LLM routing

    The best model for each testing job. You don't need to worry about upgrades, prompt rewrites, version pinning, or evals.

  • Reliable tools for your agent

    An MCP for the full testing loop. Broad tool coverage, progressive disclosure, idempotent writes, token-efficient, streaming with keepalive, OAuth.

  • Self-healing off a model, not a selector

    Every element is modeled as dozens of weighted attributes, so a page change re-identifies it by best overall match, falling back to locating it visually when attributes aren't enough.

  • Structural objectivity

    An LLM told to make a test pass will edit the DOM or weaken the assertion to get there. mabl runs your deployed app in a real browser, in a separate context, and checks it against assertions you defined separately.

  • Your intent, translated

    You describe what to test and set your guardrails; mabl's tuned metaprompts turn that into the structured instructions the agent runs on, scoped per agent with mabl's own guardrails winning on conflict. You get an effective agent without prompt-engineering it yourself.

  • Deterministic first, LLM when needed

    Cheap deterministic locators run first; the model engages only when they fail. More efficiency, lower cost, faster.

The world's most advanced testing harness

The engineering underneath: independent, reliable, and resilient.

Per-task LLM routing

The best model for each testing job. You don't need to worry about upgrades, prompt rewrites, version pinning, or evals.

Reliable tools for your agent

An MCP for the full testing loop. Broad tool coverage, progressive disclosure, idempotent writes, token-efficient, streaming with keepalive, OAuth.

Self-healing off a model, not a selector

Every element is modeled as dozens of weighted attributes, so a page change re-identifies it by best overall match, falling back to locating it visually when attributes aren't enough.

Structural objectivity

An LLM told to make a test pass will edit the DOM or weaken the assertion to get there. mabl runs your deployed app in a real browser, in a separate context, and checks it against assertions you defined separately.

Your intent, translated

You describe what to test and set your guardrails; mabl's tuned metaprompts turn that into the structured instructions the agent runs on, scoped per agent with mabl's own guardrails winning on conflict. You get an effective agent without prompt-engineering it yourself.

Deterministic first, LLM when needed

Cheap deterministic locators run first; the model engages only when they fail. More efficiency, lower cost, faster.

Verify your code works from commit to production

How it works