QA isn't the bottleneck.
It's the visibility.
TestCatalyst generates test cases, runs them through your own AI agent, files bugs that close themselves, and streams every step live to a link anyone on the team can watch. QA gets the hours back for the testing only a person can do; devs stop waiting for a status update to know what's been checked.
- MCP tools an agent can call
- 18
- MCP tools an agent can call
- connected integrations
- 12+
- connected integrations
- live URL per run, shared by everyone
- 1
- live URL per run, shared by everyone
- report types, your branding
- 4
- report types, your branding
Navigate to /checkout
One run. Two people watching for different things.
QA and engineering aren't reading two different tools. They're reading the same live run, for what each of them actually needs from it.
Tickets that aren't ready never reach you
Every ticket is scored across six readiness dimensions before it's yours to test. Underspecified ones bounce back to To Do with an AI comment listing exactly what's missing, so you stop being the one who has to say "this isn't ready" in a stand-up.
AI drafts the suite, you shape it
Generate test cases from a PRD, a Jira ticket, or a Figma frame in seconds. Then spend your judgment on the part a model can't do: what's actually risky, what a user will do that no one specified, what breaks under load.
Selectors heal themselves
A renamed CSS class doesn't fail your suite anymore. It gets repaired from a live DOM snapshot mid-run, so there's less time re-recording brittle steps and more time on cases that need a human.
A bug you file closes itself
Link a bug to its test case once. The next time that case passes, whether by you, a script, or an agent, the bug resolves on its own. Nothing to remember, nothing to chase.
The parts a generic test-case tool doesn't have
Not a bigger spreadsheet. A system that does the repetitive verification for you.
Live MCP runs
Any MCP-capable agent can run your suite and stream every step to a URL you can share, with pass/fail counts, screenshots, and linked bugs updating in real time.
Readiness gate
Tickets are scored on clarity, acceptance criteria, scope, test data, auth, and blockers before they're handed to QA. Not-ready tickets bounce back with specifics.
Self-healing steps
A failed selector gets repaired from a live DOM snapshot instead of failing the run, which is one fewer maintenance chore eating into testing time.
Design & API diffing
Compare a live page against its Figma frame, or diff Figma field names against what the API actually returns. Catch spec drift a click-through never would.
Screen recording, built in
CAT, a bundled Chrome extension, captures tab or screen video and drops it straight onto the run or bug it belongs to, and into a searchable library.
Bugs that close themselves
Link a bug to a test case once. The moment that case passes again, whether manually, scripted, or via an agent, the bug resolves itself, on any tracker.
From ticket to shipped fix
The same five steps whether a human or an agent is driving.
- 01
Connect what you already use
Jira, Figma, Postman, Slack, Trello, GitHub, BrowserStack: pull tickets and designs in, push bugs and reports out, without re-typing anything.
- 02
Generate or record a suite
Turn a PRD, a ticket, or a live click-through into structured test cases in minutes, then edit what the AI got wrong.
- 03
Run it: scripted, agentic, or from your own MCP client
Kick off a run in TestCatalyst, or let Claude drive it from your terminal through the MCP server. Either way, it's watchable live.
- 04
Bugs get triaged and pushed automatically
Failures become bug sheets with severity and repro steps pre-filled. Push to Jira or Trello and the right engineer gets pinged on Slack or Teams.
- 05
Ship a report that looks like you wrote it
Branded HTML reports, emailed, exported to Confluence, or downloaded as a PDF, with your logo and colors, not TestCatalyst's.
Connects to what your team already runs on
Bring your own agent
TestCatalyst ships an MCP server with 18 tools: list projects, create suites, run tests, file bugs, push a Jira comment. Add it to Claude Desktop or Claude Code, pair it with a browser tool, and your agent can test your app the same way a QA engineer would, reporting into the same live run everyone else sees.
{
"mcpServers": {
"testcatalyst": {
"command": "npx",
"args": ["-y", "testcatalyst-mcp"],
"env": {
"TC_API_URL": "https://testcatalyst.co",
"TC_TOKEN": "your-mcp-token-here"
}
}
}
}Give QA the hours back. Give devs the visibility.
Free to start, no credit card. Connect a project, generate your first suite, and watch a run happen live.