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• jevcore-mcp

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  A

  license

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  quality

  A

  maintenance

  Exposes three stdio tools that answer typed questions — yes/no, choice, and score — with calibrated probabilities instead of prose, letting any MCP host query a judgment model without a chat interface. Runs fully offline on a synthetic mock by default, with named, per-feature egress disclosure and redaction only when a live provider is explicitly configured.

  Updated a day ago (2026-10-17 10:01 UTC)

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• jevcore-mcp

  PaoloSchwarz

  A

  license

  -Not graded

  quality

  A

  maintenance

  Exposes three decision tools over MCP stdio that return typed judgments — yes/no, choice, and score — with calibrated probabilities instead of prose. Runs on an offline mock unless a live provider credential is supplied, with a per-feature egress report printed to stderr.

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• jevcore-mcp

  kaya734

  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.

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• ./jevcore-mcp

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  A

  license

  -Not graded

  quality

  A

  maintenance

  Exposes three stdio tools that answer typed questions — noul (yes/no), choice, and score — with calibrated probabilities instead of prose, running fully offline on a synthetic mock unless a live credential is explicitly supplied.

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• jevcore-mcp

  huseyinmoon532

  A

  license

  -Not graded

  quality

  A

  maintenance

  Exposes three tools over MCP stdio that answer typed questions — yes/no, choice, and score — with calibrated probabilities instead of prose. Runs entirely offline by default, names every transmission before it happens, and only reaches a live Jev provider when credentials and provider settings are supplied.

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• jevcore-mcp

  EricPatel80

  A

  license

  -Not graded

  quality

  A

  maintenance

  Exposes three tools over MCP stdio that answer typed questions — yes/no, choice, and score — returning calibrated probabilities instead of prose, with offline mock answers by default and explicit egress reporting before any live transmission. Enables agents to obtain structured judgments without generating free text.

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