# jev-ai-mcp

> jev-ai-mcp — weidacn-jev-ai-mcp. Use this tool when you need to classify data, score outcomes, or make batched decisions using a robust MCP server. It solves problems related to action assessment, yes/no checks, and decision-making by providing a scalable and efficient solution. The jev-ai-mcp tool accepts input data and outputs classified results, scores, and decisions, making it ideal for applications requiring automated judgment and evaluation.

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

## Description

MCP server for Jev AI (jev-ai.pro): classification, scoring, yes/no checks, action assessment, batched decisions and saved judges.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

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

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