TestDino
NewGive your AI agents test context with MCP

Transform how you test with Playwright in CI

TestDino is the Playwright test intelligence platform your team and your AI agents can act on. Debug, manage, and ship Playwright tests in CI at scale.

Debugging

Debug test failures in your browser

Every test run gets a multi-tab report: summary, spec breakdown, error groups, run history, and configuration metadata. Understand any run in 5 minutes.

Flake Management

Find and fix unreliable tests

Every test gets a stability percentage and a root cause category: timing, environment, network, assertion, or other. You see which tests are unreliable and why, not just that something failed again.

Analytics & Trends

Track test health across your suite

Six views in one dashboard: suite summary, test run timing, individual test trends, error categorization, coverage metrics, and environment pass rates. Filter everything by branch, tag, or time period.

CI & Team Integration

Fits into how your team ships code

Add the TestDino reporter to GitHub Actions or GitLab CI. Set pass rate or flaky thresholds on PRs. TestDino posts a status check so code that doesn't meet your bar can't be merged.

Your shards are running. You have no idea what's passing.

Without TestDino

Tests pass. You still don't know.

GitHub Actions
Playwright E2E Tests
#1162
Summary
Jobs
playwright-e2es (1/3)
playwright-e2es (2/3)
playwright-e2es (3/3)
merge-reports
With TestDino

Results stream in as tests run.

TestDino
Live
SHARDED
0s
00
0%
Worker 1
Idle
Worker 2
Idle
Worker 3
Idle
Worker 4
Idle
Worker 5
Idle

One run your whole team can act on

What each role gets, and what your agents handle without opening it.

Developers

See test results in your PR, not a separate tab.

  • AI summaries posted to every commit and pull request
  • Flaky tests you introduced highlighted automatically
  • Audits cite the branch's real run history, not a static code read
  • One-click link from failure to trace replay
QA Engineers

Triage hundreds of failures in minutes, not hours.

  • Failures pre-sorted by AI into actionable categories
  • One stack trace, one error group, instead of 20 open tabs
  • Manual cases, runs, and releases live beside the automated specs
  • Cross-run trend analysis and regression alerts
SDETs

Run it sharded, split, or single. It streams either way.

  • Sharded runs merge into one report through a shared run ID
  • Split mode groups jobs that run different commands
  • Environment mapping with regex patterns
  • Agents file the ticket and write test cases over MCP
Engineering Managers

Know if a release is ready, without asking.

  • Pass rate thresholds enforced on every PR
  • Scheduled PDF reports to your inbox
  • CI cost and efficiency dashboards
  • Release readiness visible without asking the team

Start streaming in three steps

Results stream live and stay as history your agents can act on.

  1. 1

    Install the reporter

    npm install @testdino/playwright
  2. 2

    Register the reporter in your config

    playwright.config.ts
    reporter: [
      ['@testdino/playwright', {
        token: process.env.TESTDINO_TOKEN,
      }],
    ]

    Set TESTDINO_TOKEN to a project API key. Generate an API key

  3. 3

    Run your tests

    npx playwright test

MCP server for
AI-assisted debugging

Claude, Cursor, and Copilot can query your test results directly. Ask your AI assistant why a test failed and it pulls real context from TestDino.

Teams love what we built

See why developers choose TestDino to ship faster and debug smarter

Daniel Bacigalupo

We were on the default Playwright reporter, and it was tedious to dig through; half a day gone just triaging failures. The TestDino MCP changed that for us. I now run through the failures in minutes instead of devoting half a day to it, and pulling the latest runs straight through the MCP sped up bug triage drastically. AI failure classification and Slack reports do the rest. It's saved us weeks.

15 min

To triage failures, down from half a day

3 weeks

Saved across the team

Daniel Bacigalupo

Quality Assurance Manager, Keen

Johan Frølich

Migrating to TestDino from Currents was an easy decision. The features are stronger, the cost is lower, and the interface makes debugging far less painful. Flaky test detection and AI failure classification have simplified debugging and reduced our CI costs by cutting down reruns and noisy failures.

40%

Reduction in CI costs

90%

Less time triaging failures

Johan Frølich

CTO & Co-founder, Franklin

Shrinath Rao

Over 30 flaky tests and no structured way to track them, just CI artifacts and morning guesswork. TestDino's "Most Flaky Tests" feature broke this pattern. We can see failure trends now and pull up video recordings of exactly what went wrong. The TestDino MCP server is the magic piece on top, I ask my Claude agent about a failure and it pulls full context from TestDino without switching tabs. We went from 30-something flaky tests down to 3 or 4.

70%

Fewer flaky test reruns

3x

Faster failure triage

Shrinath Rao

Lead Quality Assurance Engineer, OpenObserve

Switching from another tool?

See how TestDino compares to the tools you already know.

FAQs

TestDino, also searched as testdino or Test Dino, is a Playwright test intelligence platform your team and your AI agents can act on. It centralizes CI runs, classifies failures, detects flaky tests across runs, and lets agents file tickets and write test cases over MCP.