Built for QA teams that work with AI

Keep the build green.

Testryve is where QA teams plan test cases, run them across environments and see every result in one place. Releases ship with evidence instead of hope.

In development Built by Plan A.

Plan

Test cases with a history

Every change makes a new version, so a result always points to exactly what was tested.

Run

Runs across environments

Run the same cases on staging and production, and keep every attempt: pass, fail, retest.

See

Every result in one place

Pass rates, failures and flaky tests, linked to the Jira issues they cover.

AI-ready by design.

Structured test data and an open door for agents.

MCP

Open to agents

A built-in MCP server lets Claude, Copilot or your own agent read test cases, start runs and report results, with the same permissions as the person it works for.

Context

Data an agent can trust

Versioned cases, a full result history and explicit Jira links give AI the context a spreadsheet never could.

Authoring

Drafts from your stories

Turn a Jira story and its acceptance criteria into test cases to review, not retype.

An agent at work over MCPExample

agent    → list_test_cases(folder: "Payments")
testryve ← 48 cases · linked to PAY-212
agent    → start_run(cases: 48, env: "staging")
testryve ← run #413 started
agent    → report_result(case: "TC-0418", status: "failed")
testryve ← 47 passed 1 failed