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hmodali2611

Test Automation MCP Server

by hmodali2611

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    • A
      license
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      D
      maintenance
      Enables 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 npm
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    • A
      license
      Not graded
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      C
      maintenance
      Connect 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 npm
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    • A
      license
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      A
      maintenance
      Enables 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
    • A
      license
      A
      quality
      B
      maintenance
      Turns 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.
      11
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    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    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.

    Completeness4/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues