Thunders MCP: AI-Powered Test Automation Without Code

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Let your AI assistants author, execute, and reason on tests. Thunders MCP connects tools like Claude, ChatGPT, Cursor, Devin, or Windsurf directly to your testing environments, workflows, and results. Turn plain English commands into fully automated tests: no scripts, no setup, no context switching. Just ask your favorite AI, it does the rest.

Example Commands (micro-copy under sub-headline):

→ “Convert this Selenium test suite into executable Thunders test cases.”

→ “Investigate why this test failed and suggest possible fixes.”

→ “Pull in the most recent test set run and highlight any critical failures.”

→ “Build a new test case from this Figma design and add it to the smoke test set.”

How to Install Thunders MCP

Get Connected in 2 Minutes

Thunders MCP works with any MCP-compatible AI client, including:

Claude Desktop
ChatGPT Desktop
Cursor
Devin
Windsurf

No SDKs. No coding. Just connect and go.

3 Simple Steps:

Add the Server
- Open MCP settings in your AI client
- Add Server URL: https://api.thunders.ai/v1/mcp
Authorize Securely
- OAuth login via Thunders
- Tokens stored automatically, passwords never shared
Test Your Connection

Ask Thunders to prove it’s connected

“Knock Knock, is Thunders connection set?"

If results appear, you’re ready ✅

Use cases/ What You can Ask:

Turn Any Prompt Into Automated QA

Examples of what your AI can do via Thunders MCP:

1. Convert legacy tests

‍Migrate Playwright, Selenium, or Cypress test suites into executable Thunders test cases, without manual rewriting.

2. Author tests from context

‍Build test cases from flows, requirements, or Figma designs and organize them into test sets.

3. Run tests with personas

‍Execute tests using different personas, such as QA Engineer or Accessibility Tester, depending on what you want to validate.

4. Run tests with control

‍Trigger test runs on specific environments and review results in Thunders.

5. Understand results and trends

‍Review failures, coverage gaps, and recurring issues across recent test runs.

	Traditional QA	Thunders MCP
Where testing happens	Inside a dedicated testing tool	Directly from AI tools where work happens
Who operates tests	Humans (QA, engineers)	AI assistants operating the testing system
Test creation	Manually written or scripted	Authored from intent, context, or legacy tests
Legacy test migration	Manual rewrite or partial reuse	Automatic conversion from Selenium, Playwright, or Cypress
Execution control	Triggered from UI or CI only	Triggered from AI tools with full environment context
Personas & intent	Implicit, human-driven	Explicit personas (QA Engineer, Accessibility Tester, etc.)
Failure analysis	Manual inspection of logs and reports	Explained in natural language with steps, and logs
Context switching	Frequent (PM → QA tool → CI → tracker)	None. Author, run, and analyze in one place

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Your AI is your Test Engineer. No Code Needed.