# jev-native-mcp

> jev-native-mcp — ai13io-jev-native-mcp. Use this tool when you need to review and evaluate public code and documents, as it provides ranking, batch screening, and evaluation tools to streamline the process. It solves problems related to code quality assessment, claim checks, and spend limit monitoring, making it ideal for developers and reviewers. The tool accepts git inputs and outputs ranked and screened code, allowing for efficient decision-making in coding projects.

Canonical page: https://skillsregistry.net/skills/ai13io-jev-native-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai13io-jev-native-mcp

## Description

Review public code and documents with Jev in Codex and Claude Code: ranking, batch screening, claim checks, spend limits, and evaluation tools.

## 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:** Apache-2.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/ai13io/jev-native-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": "ai13io-jev-native-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai13io-jev-native-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai13io-jev-native-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