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Sham-coder16

QA Copilot AI

by Sham-coder16
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TypeScript
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools have distinct purposes: ping for health, analyze_failure and analyze_report both deal with failures but one is general and one is report-specific, classify_failure categorizes, suggest_fix provides fixes, detect_flaky_tests is unique, and generate_* tools are clearly separate. Minor overlap exists between analyze_failure and classify_failure, but descriptions reduce ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., analyze_failure, generate_test_cases, summarize_bug). Even ping is a verb, and the absence of object is acceptable for a health check. No mixing of styles or vague verbs.

    Tool Count5/5

    With 10 tools, the server is well-scoped for an AI QA assistant. Each tool addresses a specific need—health check, failure analysis, report parsing, fix suggestion, classification, flaky detection, and three generation tools plus bug summarization—without unnecessary redundancy.

    Completeness4/5

    The domain of QA assistance is well-covered: generating test cases, scripts, and API tests; analyzing and classifying failures; suggesting fixes; detecting flaky tests; and summarizing bugs. A minor gap is lack of explicit test maintenance or planning tools, but the core lifecycle of creating and debugging tests is solid.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources