Skip to main content
Glama
siqah

Checkride

by siqah
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to Checkride

No user-submitted related servers found.

    Related Servers

    • Sandbox MCP

      Dhananjay-JSR
      A
      license
      A
      quality
      B
      maintenance
      Enables AI coding agents to safely execute commands, run tests, and modify project files inside disposable, policy-enforced Docker sandboxes that are isolated from the host machine and its credentials.
      15
      MIT

    • aftertaste

      WiseeCarrot
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents to scan projects or changed files for risky leftovers like hallucinated packages, exposed secrets, truncated code, and unfinished stubs, and to verify that packages exist before installing them.
      MIT

    • FinishKit MCP Server

      FinishKit
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to scan GitHub repositories for security vulnerabilities, deployment blockers, and code quality issues. It provides detailed findings and auto-generated code patches to help developers ensure their code is production-ready.
      18 npm
      MIT

    • Sandbox MCP

      AbhiteshPundir
      A
      license
      A
      quality
      B
      maintenance
      Enables AI coding agents to safely run commands, install dependencies, test, and modify code inside disposable, policy-enforced Docker sandboxes isolated from the host, returning results and diffs.
      15
      MIT
    • io.github.pranlabs/valca by pranlabs

      io.github.pranlabs/valcaofficial

      pranlabs
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding assistants to scan every file they write before it reaches disk, blocking CRITICAL and HIGH security findings at generation time. Covers secrets, GitHub Actions AI-agent surfaces, prompt injection, Docker, Terraform, and package supply-chain risks.
      92 PyPI
      2
      -
    Deploy Server
    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

    A3.8/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: full pipeline, staged checks, git safety, security audit, fixes, reports, and individual test/typecheck/lint runners. Even overlapping tools like run_checks and run_staged_checks are explicitly scoped to different file sets. No two tools are likely to be confused by an agent.

    Naming Consistency5/5

    All tools follow a consistent verb-first snake_case pattern (run_*, check_*, suggest_*, export_*, get_*). Verbs clearly indicate the action and nouns indicate the target, making the API predictable and intuitive. There is no mixing of conventions or vague generic names.

    Tool Count5/5

    Ten tools provide a comprehensive but not bloated surface for a pre-flight validation pipeline. Each tool serves a distinct need—running checks, scoped checks, security, safety, fixes, reporting, and targeted individual checks—so the count is well-calibrated to the domain.

    Completeness4/5

    The tool set covers the full validation workflow: run checks (full or staged), inspect status, get security audits, scan for git safety issues, receive fix suggestions, and export reports. Minor gaps exist, such as no explicit tool to list or configure available checks, but these are non-essential and unlikely to cause agent failures.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources