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jev-judge-mcp

PyModel/jev-judge-mcp

Typed Jev judgment tools for MCP coding agents.

Verification & Guardrails0.62Runner-up: Agent Decisions
Automated README summary

Automatically summarized from the README on 20 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An MCP server exposing fifteen judgment tools (verify, gate, classify, rerank, and more) that let coding agents ask TypeSafe's Jev model enumerable questions about evidence and get calibrated probabilities back.

How it uses Jev

The agent passes evidence plus a question with a fixed set of answers; Jev returns probabilities, which policy maps to auto, review, or escalate. The agent uses that action to proceed, double-check, or stop.

Primitives:choicescore

Technique worth stealing

Turn model probabilities into a three-way policy (auto/review/escalate) so confident answers proceed and uncertain ones route to review instead of through.

Try it

Run `uvx --from 'jev-judge-mcp[typesafe]' jev-judge-mcp setup`, then `install`, then `doctor`.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.87
  • Shows a System One patternFound in material0.91
  • Describes handling uncertaintyFound in material0.77
  • Reports measured numbersFound in material0.90
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalunclear0.50
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.75 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.87Shows a System One pattern0.91Describes handling uncertainty0.77Reports measured numbers0.90Is a runnable tool0.94Top-10 learning shortlist signal0.50Is a replica of the model0.0600.51Solves a common problem (0–2)1.75 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.56Check-up0.56Menu0.55Funnel0.54Ghostwriter0.37Questionnaire0.2200.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Oct 2026.