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jerepaira

laya-mcp

by jerepaira

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    • A
      license
      A
      quality
      B
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      Enables AI coding agents to make fast, zero-output-token decisions by evaluating context, diffs, logs, or options through the OpenRouter Decisions API using TypeSafe Jev, returning calibrated probabilities for binary, categorical, or scoring questions.
      1
      23 npm
      3
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    • A
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      A
      quality
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      Provides fast, offline typed decision tools (classify, score, check, triage) to agents via the Model Context Protocol, enabling safe local inference across 100+ languages with calibrated confidence and no text generation.
      8
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    • A
      license
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      quality
      A
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      Judgment calls on small, fast, cheap models: yes/no, pick-one and rating questions about any text, answered YES, NO or UNSURE. Four tools (likely, classify, rate, each) for TypeSafe's Jev, open models on Ollaya, Ollama or a local NLI model.
      4
      4
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      6
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI coding agents to offload yes/no, multiple-choice, and scoring questions to TypeSafe's Jev, returning compact confidence-scored answers to save tokens and improve speed.
      1
      MIT
    • A
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      Enables AI agents to run local, CPU-only inference for decision tasks such as choosing among labels, estimating yes/no probability, and scoring ordered descriptions. Exposes these capabilities through MCP tools, REST/Swagger endpoints, and a browser test console without GPUs, paid APIs, or databases.
      Apache 2.0
    • A
      license
      A
      quality
      B
      maintenance
      Runs TypeSafe Jev System One packs locally, enabling agents to perform typed Choice, Noul, and Score judgments for tasks like PR auditing, intent routing, and locale classification.
      5
      1
      MIT

    TDQS

    A3.5/5.0

    Scored across 4 tools

    Disambiguation2/5

    decide is a generic decision engine that can handle choice and score types, which substantially overlaps with classify and score. The specialized tools add context (text vs. state), but the boundaries are not crisp, and an agent could easily misselect decide for tasks the others are designed for.

    Naming Consistency5/5

    All four tool names are single lowercase verbs with no mixed conventions or inconsistent patterns. The imperative style is consistent and easy to predict, even if the verbs are somewhat generic.

    Tool Count4/5

    Four tools is a reasonable number for a decision/classification/rating server. However, decide's broad scope makes classify, score, and check feel somewhat redundant, so the count earns slightly less than full marks.

    Completeness4/5

    The set covers common decision tasks: choice/classification, ordered scoring, and yes/no checking, plus the generic noul type through decide. Minor gaps exist around batch processing or clearer support for unstructured outputs, but the core decision surface appears well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues