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Listed in Coding & Development with 349 other toolsPart of 2034+ curated AI tools on AISO
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TestDino

Playwright test reporting and analytics for CI — AI failure classification and an MCP server for agents

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freemiumThree self-serve tiers with a monthly/annual toggle where annual saves 20%, plus a contact-sales option. Free is $0 forever with 5,000 test executions per month, 1 team member, 1 project, 14-day data retention, 1 GB artifact storage, AI classification and GitHub integration. Pro is $49 per month, or $39 per month on annual billing which the page states saves $120, with 25,000 executions per month, 3 team members, 3 projects, 30-day retention, 5 GB artifact storage, GitHub and GitLab integration, Slack notifications and premium AI insights, behind a 14-day trial. A Team plan is published above Pro for engineering teams at scale, with higher execution, seat, project, retention and storage allowances. All tiers include the MCP server for giving AI agents test context.View full pricing →

Visit TestDino

https://testdino.com

About TestDino

TestDino is a reporting and analytics layer for Playwright test suites running in CI, and it is narrow on purpose. Rather than being another test runner, it consumes results from an existing Playwright setup and turns them into something a team can act on: multi-tab run reports with a summary and spec breakdown, a test explorer, per-pull-request views, analytics over time, test case management and a manual testing surface. Failures are the focus — the product exists because a red CI run in a large suite is usually a triage problem rather than a debugging problem, and TestDino ranks and classifies failures with AI so the genuinely broken tests are separable from flaky noise. The vendor's headline claim is 6 to 8 hours saved per engineer per week, which is a triage-time claim rather than a runtime one. Filtering runs by status, branch, environment and time period, with commit and author attribution on every run, is the day-to-day interface. Integrations cover GitHub on every tier and GitLab plus Slack notifications from Pro upward. The recently added MCP server is the part most relevant to agent workflows: it gives an AI coding agent direct context on which tests failed, on which branch, and how they have behaved historically — which is precisely the context an agent otherwise lacks when asked to fix a failing suite. Artifact storage and data retention scale by tier.

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Key Features

Multi-tab run reports with summary, spec breakdown and artifacts
AI classification separating real failures from flaky noise
Per-pull-request views with commit and author attribution
Filtering by status, branch, environment and time period
MCP server giving AI coding agents direct test-failure context
Test case management and a manual testing surface

TestDino Pros & Cons

Pros

  • +Deliberately narrow — it does Playwright reporting rather than everything
  • +The MCP server gives agents the failure history they normally cannot see
  • +Free tier's 5,000 executions a month is genuinely usable on a small suite

⚠️ Cons

  • Playwright only, so a mixed-framework estate needs a second tool
  • 14-day retention on Free is short for tracking flake trends
  • GitLab and Slack are held back to paid tiers

Tags

playwrighttestingci-cdqamcpanalytics
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