# jevguard-mcp

> jevguard-mcp — seb4ez-jevguard-mcp. Use this tool when you need to manage and secure AI model contexts with the Model Context Protocol (MCP) server, solving issues of model integrity and version control. It provides a git interface for inputs and outputs, allowing for seamless integration with existing development workflows. Ideal for use cases involving JevGuard and TypeSafe AI, where secure model management is crucial.

Canonical page: https://skillsregistry.net/skills/seb4ez-jevguard-mcp  
JSON: https://api.skillsregistry.net/v1/skills/seb4ez-jevguard-mcp

## Description

Official Model Context Protocol (MCP) server for JevGuard and TypeSafe AI

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **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/seb4ez/jevguard-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": "seb4ez-jevguard-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/seb4ez-jevguard-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/seb4ez-jevguard-mcp/pull`

---
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