Integrations

Works with the tools your team already uses

AI Testing Probe connects to your tools through adapters, and its outputs stay there: test cases in Jira or Xray, tests in your Git repository, results as standard reports. Each row below shows the capability that uses the integration and that capability's current maturity label. Demos run Jira, Git and CI on simulators with the same adapter code.

By category

Integrations and their labels

Text badges, no logos. The label comes from the capability that uses the integration.

Integrations by category, with the capability that uses each one and its maturity label
Tool What it does Used by Label
Requirements
Jira Cloud Stories and acceptance criteria are read with a read-only account; fixes, questions and bugs are written by a project-limited bot account. Requirement review Demonstrated
Test management
Jira Test issues Approved cases become Test issues with steps in the description, linked to the story. Test case generation and Jira/Xray publishing Demonstrated
Xray Cloud Approved cases become manual Xray tests with structured steps. Optional. Test case generation and Jira/Xray publishing Demonstrated
Code and CI
GitHub A GitHub App opens pull requests for generated tests and repairs. It never merges; people merge through your ruleset. Template-bound Playwright code and pull request Demonstrated
GitHub Actions Runs the approved suite on pull request, push, deploy and nightly triggers, with no AI. CI results into Control Tower and triage Demonstrated
Azure DevOps Boards, Repos, Pipelines and Test Plans. Azure DevOps (Boards, Repos, Pipelines, Test Plans) Roadmap
Browser and device
Playwright Generated tests are plain Playwright TypeScript with your page objects. Template-bound Playwright code and pull request Demonstrated
Sauce Labs Built to run the same tests on cloud browsers as a separate, non-blocking job. Adapter ready as a GitHub Actions job; not yet shown in a demo. Sauce Labs cloud runs Roadmap
FlaUI and Appium Desktop and mobile code generation. Desktop (FlaUI) and mobile (Appium) code generation Roadmap
Model
Anthropic Claude Swappable model gateway; Anthropic Claude today. Only one platform service holds the key. Requirement review Demonstrated
Azure OpenAI and other providers New providers plug into the same gateway as adapters. Azure OpenAI and other model providers Roadmap
MCP clients
Claude Code and other MCP clients Connect to the platform's MCP endpoint from the IDE with an API token. Tokens can submit drafts but cannot approve. MCP client channel (e.g. Claude Code) Demonstrated

Not available today

  • Other test management tools, such as TestRail or Zephyr. Test management is a port, but no other adapter exists today.
  • Jira Data Center or Server. The Jira adapter targets the Jira Cloud REST API.
  • Single sign-on (OIDC or SAML) for the portal. Users sign in with platform accounts and role-based access control.
  • CI pipelines in GitLab, Jenkins or Azure DevOps. The approved suite runs in GitHub Actions today.
  • Kubernetes or OpenShift deployment. The platform runs with Docker Compose on a single server today.

Each of these is Roadmap, with the date set by pilot demand. See them in the day-one matrix

Not on the list? Let's talk about adapter scope for your pilot.

Talk to us

Principles

The same rules for every connection

  • Separate read and write identities

    Reading and writing use different accounts or tokens. The write identity is limited to the project or repository the platform works in.

  • Credentials in one service

    Model keys and write credentials go only to the core worker. The toolchain, the test runner and CI never receive them, and an automated check confirms it.

  • Secrets stay out of Git

    Credentials live in the host's environment file or as CI secrets. Connection checks never print secret values.

  • Simulator or real, same code

    Every external system sits behind a port. A local simulator can stand in for Jira, Git and CI during evaluation; switching is a configuration change.

Start with one story.

In a 30-minute call we look at your stack and a few of your stories, and tell you honestly whether a pilot fits.