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Related Servers

Alternatives to rush

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Autonomous spec-to-product coding-agent CLI. Its MCP server exposes 34 tools over stdio: project state and task-queue ops, memory retrieve/store, code search, quality and verification reports, repo hotspots/co-changes, and structured findings/learnings.
      903 npm
      1,072
      Business Source 1.1
    • A
      license
      Not graded
      quality
      C
      maintenance
      Analyzes codebases to produce structured quality health reports with risk-scored modules based on git churn, test coverage, and test-to-source mapping, acting as an MCP server for AI coding agents and a standalone CLI.
      14 PyPI
      MIT
    • -
      license
      Not graded
      quality
      Not graded
      maintenance
      Provides comprehensive code quality tools including linting, security scanning, TypeScript checking, and testing through a single MCP server. Integrates multiple quality analysis tools like Biome, ESLint, and Playwright for streamlined development workflows.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.
      29 npm
      MIT

    TDQS

    C2.6/5.0

    Scored across 79 tools

    Disambiguation2/5

    Many tools fall into the same broad audit/scan bucket, such as rush_review, rush_lint, rush_slop, rush_dead, and rush_complexity, making selection genuinely ambiguous. Test-related tools like rush_test, rush_e2e, rush_snapshot, and rush_visual also blur together, and the deprecated rush_attest_generate alias adds extra confusion.

    Naming Consistency3/5

    All tools share the rush_ prefix and snake_case, which keeps the naming readable. However, the operation part is inconsistent: some are nouns, some are verbs, and some are long descriptive phrases, so there is no predictable verb_noun or noun_verb convention.

    Tool Count1/5

    With 79 tools, this is an extreme over-scoped MCP surface and far exceeds the threshold where a tool set remains navigable. Many related scanners could be consolidated into a single parameterized scan/audit tool, and the sheer count severely harms discoverability.

    Completeness4/5

    The inferred domain is a broad engineering-quality and release-readiness assistant, and the tool set covers static analysis, testing, security, release planning, AI evaluation, context management, and agent coordination. Some gaps remain—many findings can only be remediated by rush_fix and several tools depend on external engines—but agents can generally work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues