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mnsdvk
by mnsdvk

Related Servers

Alternatives to Doublecheck

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to replace self-reported done checkboxes with verified, evidence-based completion tracking, using automated FAIL_TO_PASS/PASS_TO_PASS tests, mandatory mutation checking, and explicit human/AI reviews when automated proof is impossible.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables customer-success teams and AI hosts to inspect account evidence, assess onboarding readiness, assemble unsent bilingual follow-up drafts, and prepare traceable technical handoffs through scoped MCP tools. It preserves source references and distinguishes recorded failures, missing evidence, and possible explanations for human review.
      8
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to verify technical claims against supplied evidence, identify unsupported assumptions and contradictions, and recommend the smallest next check before acting.
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to turn written acceptance requirements into explicit browser-check plans, inspect web apps for supported locators and assertions, and run deterministic checks that capture evidence reports. Each requirement is linked to observed pass/fail/unverified evidence, with write actions and target origins restricted unless explicitly allowed.
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Read-only MCP server that exposes governed operational records with provenance and validity windows so clients can check which evidence is still current before answering. It lets agents reconcile freshness, schedule state, and evidence specificity to determine whether scheduled automations are actually healthy, rather than trusting an expired dashboard summary.
      4
      MIT