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    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves three judgment tools over MCP stdio that return typed answers — yes/no, choice, and score — with calibrated probabilities instead of prose. It runs fully offline by default, requiring an explicit live provider and credential before any state leaves the host.
      115 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes local MCP tools for typed, calibrated LLM decisions — gating risky actions, yes/no judging, classification, ordinal rating, and multi-question decisions in one pass. Runs on the model Devin's CLI already provides via ACP (or a fully offline local backend), so agents get calibrated confidence with no extra API key, no Ollama, and no waitlist.
      137 PyPI
      6
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables typed, calibrated judgment calls through classify, score, check, and batched ask tools, each returning full probability distributions for programmatic decisions.
      5
      447 npm
      7
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides agents with MCP tools for typed probabilistic decisions—Choice, Noul, and Score—with calibrated probabilities and abstention, using local OpenAI-compatible models via LM Studio logprobs.
      4
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables natural-language interaction with TypeSafe's Jev decision API, supporting mixed question calls, batch evaluation, model listing, and confidence or composite-score gates over stdio.
      7
      MIT