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reqtrace-mcp

reqtrace-mcp

by b4ked
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Python
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    TDQS

    A3.5/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools target distinct actions: get_requirement vs list_requirements (one vs all), run_verification vs coverage_report (execution vs metrics), find_gaps vs lint_requirements (blocking gaps vs quality checks). There is mild overlap between trace_matrix, coverage_report, and get_requirement since all surface mapping/coverage data, but the descriptions give enough framing to distinguish them.

    Naming Consistency4/5

    All names use consistent snake_case with a mostly verb_noun pattern (get_requirement, list_requirements, run_verification, lint_requirements, flag_requirement_issue, propose_links, record_review). A few are noun phrases (trace_matrix, coverage_report, evidence_report, impact_of_change), which is a minor deviation but still predictable and readable.

    Tool Count5/5

    Twelve tools sit squarely in the well-scoped range for a requirements-traceability and verification server. Each tool maps to a distinct lifecycle activity (inspect, verify, report, flag, propose, sign off), so no tool feels redundant or missing.

    Completeness4/5

    The surface covers the full traceability loop: listing/getting requirements, running verification, coverage, gap detection, quality linting, issue flagging, link proposals, human sign-off, and evidence export. The only gap is no direct tool to author or edit requirements, but this appears intentional given the annotation-based, human-in-the-loop design.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

    Resources