Skip to main content
Glama
miaopj0325-collab

Jev MCP Server

by miaopj0325-collab
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Related Servers

Alternatives to Jev MCP Server

No user-submitted related servers found.

    Related Servers

    • jev-flash-router

      Ravinder82
      A
      license
      A
      quality
      B
      maintenance
      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
      136 npm
      2
      MIT

    • askjev

      pZacca
      A
      license
      A
      quality
      A
      maintenance
      Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.
      1
      MIT

    • Jev MCP

      chungsubeen0
      A
      license
      A
      quality
      B
      maintenance
      Enables frontier coding agents to delegate routine probabilistic judgments to TypeSafe Jev, providing calibrated triage signals for failures, attempts, completion, context ranking, findings, risk, and generic evidence-grounded questions.
      7
      MIT

    • Jev MCP Proxy

      altregubov
      A
      license
      B
      quality
      C
      maintenance
      Enables AI agent skills to route state-evaluation requests to TypeSafe AI's Jev System One model, supporting typed questions, choice classification, binary probabilities, and rubric scoring with calibrated confidence.
      4
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct decision primitive: boolean evaluation, single-choice classification, hierarchical scoring, and batch processing. The batch tool clearly aggregates the other three rather than competing with them, so there is no meaningful selection ambiguity.

    Naming Consistency5/5

    All tool names share a consistent 'jev_' prefix followed by a lowercase noun or noun phrase, using snake_case throughout. The naming convention is uniform and predictable across the entire set.

    Tool Count5/5

    Four tools is well-scoped for a decision-primitive server: three core evaluation types plus one batching convenience tool. Every tool earns its place without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full stated domain of Jev decision primitives: boolean verification, option selection, hierarchical scoring, and concurrent batch evaluation. There are no obvious missing operations for this specialized purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources