# mcp-s

> mcp-s — vorluno-mcp-s. Use this tool when you need to manage AI model context and integrate with git for version control, enabling seamless collaboration and automation for AI coding agents. It solves problems related to model management, deployment, and scaling, providing a robust interface for inputs and outputs. Ideal for use cases involving AI model development, testing, and deployment, where git integration is essential.

Canonical page: https://skillsregistry.net/skills/vorluno-mcp-s  
JSON: https://api.skillsregistry.net/v1/skills/vorluno-mcp-s

## Description

Vorluno's family of Model Context Protocol (MCP) servers for AI coding agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vorluno/mcp-s)

## 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": "vorluno-mcp-s"
    }
  }
}
```

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