Skip to main content
Glama

Related Servers

Alternatives to code-evidence

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      A
      maintenance
      Enables coding agents to retrieve local, token-budgeted, source-traceable context from a workspace, with file:line provenance and selection receipts for chosen spans.
      5
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible AI coding agents to obtain clean failing-test context, ranked suspect lines, runtime value comparisons, bounded code search, and patch verification so they can fix Python test failures with fewer tokens.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides structured, sandboxed test and lint feedback for coding agents, returning compact typed verdicts with failure fingerprints instead of raw runner output. It enables impact-selected test execution in isolated containers, distinguishing pre-existing failures from regressions.
      4
      34 PyPI
      Apache 2.0
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to run bounded local profiling, tracing, and benchmarking analyses on explicit artifacts or commands, returning typed evidence with provenance, coverage, and limitations.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to submit code files for analysis and receive rule-based findings with severities, line numbers, and SARIF fingerprints, covering security, complexity, and dependency/configuration drift.
      1,674 PyPI
      7
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Evidence-backed, read-only codebase diagnostics for coding agents: secrets, dependency, RLS, and source-impact audits with a verify loop and PR review verdicts. Never writes files or uses the network by default.
      4
      205 npm
      MIT