# Studio MCP

> Use this tool when you need to integrate CLI commands with AI agents or automate local script execution through a standardized interface. Studio MCP solves the problem of bridging the gap between command-line tools and AI models by generating a Model Context Protocol server. It takes CLI commands and template syntax as input and outputs a dynamically generated server for AI agents to interact with.

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

## Description

Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v1npwknnmg)
- **Repository:** <https://github.com/studio-mcp/studio>

## 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": "studio-mcp-studio"
    }
  }
}
```

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