Skip to main content
Glama

Related Servers

Alternatives to dsh-jev-mcp

No user-submitted related servers found.

    Related Servers

    • 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.
      66 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that exposes eleven typed decision tools—check, choose, score, judge, route, triage, guard, grep, rank, compact, and ask—so agents can make fast, branchable yes/no, option-pick, score, and filtering decisions on text via TypeSafe's Jev model.
      12 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables any MCP host to obtain typed judgments — yes/no, choice, and score — with calibrated probabilities instead of prose, exposed as three tools over stdio. It runs fully offline with synthetic answers by default, and only transmits state to TypeSafe or OpenRouter when live routing is explicitly configured, reporting exactly what leaves at startup.
      66 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes three typed-judgment tools over MCP stdio, letting a host ask yes/no, choice, and score questions and receive calibrated probabilities rather than prose. Runs entirely offline against a mock provider by default, with live TypeSafe or OpenRouter routes and a disclosed, per-feature egress contract when explicitly enabled.
      66 npm
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables agents to ask TypeSafe AI's Jev decision model typed questions — choices, scores, true/false propositions, and image bounding boxes — about a text or JSON state, returning structured answers with calibrated probabilities and confidence instead of free-form prose. Supports images, multi-question batch calls, and long-context requests over stdio.
      6
      129 npm
      MIT