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Related Servers

Alternatives to CI Investigator MCP

No user-submitted related servers found.

    Related Servers

    • F
      license
      A
      quality
      B
      maintenance
      Enables CI/CD failure triage for GitHub Actions by inspecting failed runs, classifying root causes with LLM assistance, retrieving relevant runbook guidance, estimating flakiness, and either preparing dry-run fix PRs or publishing structured diagnoses to Discord for human review.
      2
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Analyzes GitHub Actions workflows and performance, helping identify bottlenecks, failures, and optimization opportunities in CI/CD pipelines.
      18 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.
      6 npm
      3
      ISC

    TDQS

    A3.5/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, covering different aspects of CI failure analysis without overlap. For example, ci_health_score computes a health metric, while detect_flaky_tests analyzes flakiness, and explain_failure_root_cause classifies root causes.

    Naming Consistency4/5

    Tool names follow a consistent snake_case pattern and mostly use verb_noun or verb_phrase structure (e.g., detect_flaky_tests, list_failure_trends). One minor deviation is ci_health_score, which is a noun phrase, but it still fits the pattern.

    Tool Count5/5

    With 10 tools, the server is well-scoped for its purpose of CI failure investigation. This count allows comprehensive coverage without being overwhelming.

    Completeness5/5

    The tool set covers the full lifecycle of CI failure analysis: identification (get_failed_runs), summarization (summarize_failure), root cause analysis (explain_failure_root_cause, find_regression_pr_or_commit), trend detection (list_failure_trends, detect_flaky_tests), and remediation (suggest_fix_for_failure, ci_health_score). No obvious gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues