Skip to main content
Glama

Related Servers

Alternatives to quality-kpi-mcp

No user-submitted related servers found.

    Related Servers

    • 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
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Connect engineering metrics, DORA performance, deploy risk scoring, and PR health to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Generates sprint retrospectives grounded in actual data from Jira, GitHub, and Slack, providing evidence-backed insights and action items.
      6
      85 npm
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI clients to analyze software test results and defect records, producing explainable GO, CONDITIONAL_GO, or NO_GO release-readiness recommendations with deterministic risk scoring, failed-test retrieval, defect hotspot ranking, and regression test planning.
      4
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables natural-language Q&A over customer support ticket data. Provides tools for schema inspection, SQL-based ticket counts and grouping, and full-text search for customer wording without requiring API keys.
      -

    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: data inventory, defect aging, defect metrics, incident MTTR, DORA metrics, change-failure breakdown, KPI trends, period comparison, executive summary, and dashboard export. Overlaps such as time-to-restore appearing in both MTTR and DORA tools are framed at different levels of aggregation, and the descriptions make the boundaries clear.

    Naming Consistency5/5

    All tools use consistent snake_case with a clear verb_noun pattern: get_, list_, compare_, generate_, and export_. The naming is predictable and readable throughout, including acronym cases like get_mttr and get_dora_metrics.

    Tool Count5/5

    Ten tools is well-scoped for a quality KPI reporting server, with separate tools for each major metric family, reporting workflow, and data discovery need. No tool appears redundant or purely decorative.

    Completeness5/5

    The surface covers the domain end to end: discovering loaded data, retrieving defect, incident, DORA, and change-failure metrics, trending and comparing KPIs, and producing executive-level summaries and dashboards. No obvious operational gap would block the intended reporting workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues