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Alternatives to jev-mcp

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants and local workflows to run Jev-powered tools that judge speeches line by line, audit drafts against goals, bisect hard-to-test bugs, simulate common-sense physics, score note pairs, and ask arbitrary typed questions cheaply.
      7
      11 npm
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables coding agents to query files, logs, and search results through TypeSafe Jev's typed, probabilistic answers, so they retrieve only the needed conclusion instead of raw context. Supports classification, scoring, yes/no checks, extraction, page ranking, and injection screening.
      11
      317 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables coding or reasoning agents to request structured judgments from TypeSafe's Jev model at decision points, including choices, scores, claim verification, and code reviews, with probabilities and confidence returned as data.
      5
      5 npm
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to obtain typed judgments from TypeSafe's Jev System One models, including yes/no probabilities, multiple-choice selections with distributions, and rubric-based scores, directly usable in code.
      5
      2
      AGPL 3.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects an AI agent over Streamable HTTP to a workspace so it can read datasets, contracts, runs and receipts, and, when the owner permits, create fields and value sets, start runs and publish releases — while each deployed tool is also served as its own endpoint whose schema is generated from the owner's contracts. Every value comes with a receipt and safety exclusions are enforced in the query, with sensitive actions like approving review items or publishing past the accuracy gate reserved for a person.
      MIT