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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP-compatible clients to access model registry, prediction logging, drift detection, bias/fairness auditing, compliance and governance queries, explanation generation, LLM/RAG monitoring, content safety, alert management, multi-agent workflow tracking, and performance metrics through 197 tools across 18 domains. Supports stdio and hosted Streamable HTTP transports, plus MCP Apps interactive audit cards.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      A local, MIT-licensed AI test harness with 10 MCP tools and 11 prompts for risk-based testing, accessibility checks, quality maps, evidence, and interactive reports. Runs over stdio against an explicitly configured project folder; uses the host AI coding agent, with no hosted backend or runtime telemetry.
      2
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Exposes five prompt-engineering skills as MCP tools, prompts and resources so a connected AI client can itself prepare and execute task, system-prompt, evaluation and rewrite work. It also provides a durable, resumable pipeline that tracks isolated worker dispatches, validates stage output, enforces loop limits and persists run artifacts — locally over stdio or self-hosted on Cloudflare Workers without any model API key.
      13
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Exposes a deterministic AI-slop scanner and RAG grounding grader as MCP Tools, Resource, and Prompt, enabling any MCP client to evaluate text quality and context faithfulness.
      MIT