Jev MCP Server
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Alternatives to Jev MCP Server
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Related Servers
- AlicenseAqualityBmaintenanceEnables 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.132 npm3MIT
- FlicenseNot gradedqualityBmaintenanceEnables Claude Code agents to perform structured decision-making through TypeSafe Jev, supporting yes/no checks, route selection, scoring, and batched multi-question judgments with confidence values.1-
- AlicenseAqualityBmaintenanceEnables 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.1MIT
- AlicenseBqualityCmaintenanceEnables 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.52AGPL 3.0
- AlicenseAqualityAmaintenanceEnables 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.110 npm1MIT
- AlicenseAqualityCmaintenanceEnables 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.59 npmMIT
TDQS
Scored across 4 tools
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.
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.
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.
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.