# jev-judge-mcp

> jev-judge-mcp — pymodel-jev-judge-mcp. Use this tool when you need to automate decision-making processes with typed judgment tools for MCP agents, solving problems such as verifying, classifying, and scoring data. It takes in various inputs and outputs judgments, decisions, and scores, enabling efficient review and escalation of results. Ideal for use cases requiring autonomous decision-making, review, and escalation in a TypeSafe Jev model context.

Canonical page: https://skillsregistry.net/skills/pymodel-jev-judge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pymodel-jev-judge-mcp

## Description

Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PyModel/jev-judge-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pymodel-jev-judge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pymodel-jev-judge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pymodel-jev-judge-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt