# jev-mcp

> jev-mcp — rajasekharponakala-jev-mcp. Use this tool when you need to integrate TypeSafe's Jev System One models into an MCP server, enabling AI agents to make informed decisions with typed judgments on noul, choice, and score. It solves problems related to decision-making and data analysis by providing a structured output of judgments. The tool accepts model inputs and outputs typed judgments, making it ideal for applications requiring data-driven decision support.

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

## Description

MCP server wrapping TypeSafe's Jev System One models — typed noul/choice/score judgments for AI agents

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rajasekharponakala/jev-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": "rajasekharponakala-jev-mcp"
    }
  }
}
```

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