Studio MCP MCP Server

$npx -y @studio-mcp/studio <command> <templates>
README.md

Make any CLI into an AI tool with studio MCP server.

Studio MCP

Make any CLI into an AI tool with studio MCP server.

Bright Studio Apt – Just enough, nothing more – $0/mo OBO.

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What's Included?

studio is the simplest possible way to add CLI tools that your AI Agent can use right now. Built on the Model Context Protocol, studio spawns a single tool mcp server with your command.

The tool turns everything after studio command into an MCP tool that can be called by Cursor, Claude, etc.

studio is great for patching CLIs into Claude, debugging MCPs or providing custom scripts to your LLM without having to deal with MCP.

It uses a very simple Mustache-like template syntax to provide inputs and descriptions telling the LLM how to use your command.

npx -y @studio-mcp/studio command "{ required_argument # Description of argument }" "[optional_args... # any array of arguments]"

studio turns this into an input schema for the MCP tool so that tool calls know what to send:

{
  "type": "object",
  "properties": {
    "required_argument": {
      "type": "string",
      "description": "Description of argument"
    },
    "optional_args": {
      "type": "array",
      "items": { "type": "string" },
      "description": "any array of arguments"
    }
  },
  "required": ["required_argument"]
}

You can run almost any command, but you might need to put the full path for scripts or commands installed via other package managers. Just run which cmd to find it's full path.

Since you're just renting the place, please be a good tenant and don't rm -rf anything.

Move-In

These install instructions are like my lease agreement: full of gotchas. Have your lawyer read it over. (You do have a lawyer right?)

You can install to your system with npm or use npx directly.

npm install -g @studio-mcp/studio

Unpack (it's an apartment metaphor)

Most MCPs don't run in your shell environment 😭 You'll probably need to add the full path somewhere.

We'll use the MacOS say command as an example command. If you're not on a Mac, use echo (it's worse than useless, but it's easy to understand).

Claude Desktop

Go to the Claude Desktop settings and click Developer > Edit Config. It should open your Claude Desktop MCP configuration. (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "say": {
      "command": "npx",
      "args": [
        "-y",
        "@studio-mcp/studio",
        "say",
        "-v",
        "siri",
        "{speech # A concise message to say outloud}"
      ]
    }
  }
}

Cursor

Add to your ~/.cursor/mcp.json (in your home or project directory) or go to Tools section of the Cursor UI.

Note: A bug in Cursor breaks args with spaces.

{
  "mcpServers": {
    "say": {
      "command": "npx",
      "args": [
        "-y",
        "@studio-mcp/studio",
        "say",
        "-v",
        "siri",
        "{speech#say_outloud}"
      ]
    }
  }
}

VSCode

It's a lot of the same here. Don't get confused betwee studio and stdio (that's how I got the name).

{
  "mcp": {
    "servers": {
      "echo": {
        "type": "stdio",
        "command": "npx",

        "args": [
          "-y",
          "@studio-mcp/studio",
          "echo",
          "{text#What do you want to say?}"
        ]
      }
    }
  }
}

Template Syntax

Studio uses templates to keep your studio tidy.

studio say -v "{voice# Choose your Mac say voice}" "[args...#Any additional args]"

This creates a Studio server with two arguments: voice and args. Everything after the # will be used as the description for the LLM to understand.

Studio templates are a modified mustache format with descriptions: {name # description} but they also add shell like optional [--flag] booleans, [optional # an optional string] and [args... # array with 0 or more strings] for additional args:

  • {name}: Required string argument
  • [name]: Optional string argument
  • [name...]: Optional array argument (spreads as multiple command line args)
  • [--flag]: Optional boolean named flag that prints --flag only when true.
  • {name...}: Required array (1 or more arguments required).

Inside a tag, there is a name and description:

  • name: The argument name that will be shown in the MCP tool schema. Only letter numbers and underscores (dashes and underscores are interchangeable, case-insensitive).
  • description: A description of what the argument should contain. Reads everything after the # to the end of the template tag.

Note: Double curly braces {{name}} are still supported for backward compatibility, but single braces {name} are preferred and used throughout the docs.

What about {cool_template_feature: string /[A-Z]+/ # Fancy tags}?

This is a simple studio, not one of those fancy 1 bedroom flats.

Maybe the landlord will get around to it at som

Tools (1)

dynamic_cli_toolA dynamically generated tool based on the provided CLI command and template syntax.

Configuration

claude_desktop_config.json
{"mcpServers": {"say": {"command": "npx", "args": ["-y", "@studio-mcp/studio", "say", "-v", "siri", "{speech # A concise message to say outloud}"]}}}

Try it

Use the 'say' command to read this paragraph out loud using the Siri voice.
Echo the following text back to me: 'Hello from the MCP studio'.
Run a custom local script using the studio template syntax to pass required arguments.
Configure a new CLI tool for Claude that uses a specific shell command with optional flags.

Frequently Asked Questions

What are the key features of Studio MCP?

Transforms any CLI command into an MCP tool using simple template syntax.. Supports required, optional, array, and boolean flag arguments.. Generates JSON input schemas automatically for LLM tool calls.. Compatible with Claude Desktop, Cursor, and VSCode.. Enables AI agents to execute local scripts and system commands..

What can I use Studio MCP for?

Patching existing CLIs into Claude without writing custom MCP server code.. Debugging MCP interactions by wrapping simple shell commands.. Providing custom local scripts to LLMs with defined input schemas.. Quickly exposing system utilities like 'say' or 'echo' to AI agents..

How do I install Studio MCP?

Install Studio MCP by running: npx -y @studio-mcp/studio <command> <templates>

What MCP clients work with Studio MCP?

Studio MCP works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Use Studio MCP with Conare

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