Test Automation MCP Server
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- AlicenseNot gradedqualityDmaintenanceEnables AI models (Claude, ChatGPT, GitHub Copilot) to run and analyze local tests, rerun failures, and orchestrate QA workflows using existing UI and API test frameworks.3 npmMIT

Tesults MCPofficial
AlicenseNot gradedqualityCmaintenanceConnect AI agents to your test results, insights, and targets. Query test runs, failures, flaky tests, and regressions across frameworks including Playwright, Jest, Pytest, Cypress and more.81 npmMIT- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to answer QA questions in a single call, covering run reports, failure grouping by root cause, flaky versus regressed test detection, and coverage gaps. Also exposes raw TestRail API access when a question needs it.MIT
- AlicenseAqualityBmaintenanceTurns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.11MIT
- AlicenseAqualityBmaintenanceEnables AI coding assistants to generate, score, run, and auto-heal Playwright E2E tests while enforcing domain-driven page object architecture and anti-flakiness rules.8MIT
- AlicenseNot gradedqualityCmaintenanceEnables an LLM assistant to analyze automated test results, search logs, group failures by cause, and draft Jira bugs with steps to reproduce, with dry-run Jira filing by default.MIT
TDQS
Scored across 6 tools
Each tool targets a distinct step in the test workflow: discovering suites, running tests, reading recent results, drilling into failures, querying fixtures, and filing a bug. The run_tests vs. get_test_results distinction is explicit: one executes, the other summarizes an existing report. get_failure_details is also clearly scoped to digging into named failing tests.
All tools use consistent snake_case with a clear verb_noun pattern: list_test_suites, run_tests, get_test_results, get_failure_details, query_test_data, create_jira_bug. The convention is predictable throughout with no mixed styles.
Six tools is well-scoped for a test automation server, covering the core workflow without redundant or filler operations. Each tool has a clear role in the run-inspect-debug-file lifecycle.
The surface covers the main workflow from listing suites through running tests, inspecting failures, querying fixtures, and filing a Jira bug. Minor gaps remain, such as historical results beyond the most recent report and suite configuration/management, but agents can work around them.