Roblox Studio MCP Server

What is Roblox Studio MCP Server about?

Provides a reference implementation of the Model Context Protocol that lets a Roblox Studio plugin communicate with external AI tools. The server consists of an Axum‑based web endpoint for long‑polling and an rmcp process that talks to AI clients over standard input/output.

How to use Roblox Studio MCP Server?

1. Install Roblox Studio and an AI client (Claude Desktop or Cursor).
2. Download the latest release binary or build from source with cargo run.
3. The installer configures the AI client and installs the Studio plugin.
4. In Studio, enable the MCP plugin from the Plugins tab.
5. Issue prompts in the AI client; tool requests are routed through the server to Studio, and responses are sent back.

Key Features

• Axum‑based HTTP server that supports long‑polling from the Studio plugin.
• rmcp server using --stdio transport for direct communication with Claude Desktop or Cursor.
• Automatic setup scripts that configure the AI client and install the Studio plugin.
• Supports tool actions like insert_model and run_code.
• Cross‑platform binaries (Windows, macOS, Linux).

Use Cases

• AI‑assisted game development – Prompt Claude to generate or modify models, scripts, or assets directly inside a Roblox place.
• Rapid prototyping – Use natural‑language commands to insert pre‑built models or run code snippets without manual editing.
• Automation – Batch‑process repetitive Studio tasks via AI‑driven tool calls.
• Learning and teaching – Demonstrate Roblox development concepts by letting an AI explain and execute actions in real time.

FAQ

Q: Do I need to run the server manually? A: No. The installer starts the server automatically when the Studio plugin is enabled.

Q: Which AI clients are supported? A: Claude Desktop and Cursor are detected automatically; other MCP‑compatible clients can be added manually.

Q: Can I build the server from source? A: Yes. Install Rust, clone the repository, and run cargo run.

Q: Is my Roblox place safe? A: The server grants full read/write access to the opened place, so only trusted AI clients should be connected.

Q: How do I add the server to a custom MCP client configuration? A: Add a JSON entry under mcpServers with the path to the executable and the --stdio argument as shown in the README.

Roblox Studio MCP Server

This repository contains a reference implementation of the Model Context Protocol (MCP) that enables communication between Roblox Studio via a plugin and Claude Desktop or Cursor. It consists of the following Rust-based components, which communicate through internal shared objects.

• A web server built on axum that a Studio plugin long polls.
• A rmcp server that talks to Claude via stdio transport.

When LLM requests to run a tool, the plugin will get a request through the long polling and post a response. It will cause responses to be sent to the Claude app.

Please note that this MCP server will be accessed by third-party tools, allowing them to modify and read the contents of your opened place. Third-party data handling and privacy practices are subject to their respective terms and conditions.

The setup process also contains a short plugin installation and Claude Desktop configuration script.

Setup

Install with release binaries

This MCP Server supports pretty much any MCP Client but will automatically set up only Claude Desktop and Cursor if found.

To set up automatically:

1. Ensure you have Roblox Studio, and Claude Desktop/Cursor installed and started at least once.
2. Exit MCP Clients and Roblox Studio if they are running.
3. Download and run the installer:
   1. Go to the releases page and download the latest release for your platform.
   2. Unzip the downloaded file if necessary and run the installer.
   3. Restart Claude/Cursor and Roblox Studio if they are running.

Setting up manually

To set up manually add following to your MCP Client config:

{
  "mcpServers": {
    "Roblox Studio": {
      "args": [
        "--stdio"
      ],
      "command": "Path-to-downloaded\\rbx-studio-mcp.exe"
    }
  }
}

On macOS the path would be something like "/Applications/RobloxStudioMCP.app/Contents/MacOS/rbx-studio-mcp" if you move the app to the Applications directory.

Build from source

To build and install the MCP reference implementation from this repository's source code:

1. Ensure you have Roblox Studio and Claude Desktop installed and started at least once.
2. Exit Claude and Roblox Studio if they are running.
3. Install Rust.
4. Download or clone this repository.
5. Run the following command from the root of this repository.

   cargo run
   

   This command carries out the following actions:
   • Builds the Rust MCP server app.
   • Sets up Claude to communicate with the MCP server.
   • Builds and installs the Studio plugin to communicate with the MCP server.

After the command completes, the Studio MCP Server is installed and ready for your prompts from Claude Desktop.

Verify setup

To make sure everything is set up correctly, follow these steps:

1. In Roblox Studio, click on the Plugins tab and verify that the MCP plugin appears. Clicking on the icon toggles the MCP communication with Claude Desktop on and off, which you can verify in the Roblox Studio console output.
2. In the console, verify that The MCP Studio plugin is ready for prompts. appears in the output. Clicking on the plugin's icon toggles MCP communication with Claude Desktop on and off, which you can also verify in the console output.
3. Verify that Claude Desktop is correctly configured by clicking on the hammer icon for MCP tools beneath the text field where you enter prompts. This should open a window with the list of available Roblox Studio tools (insert_model and run_code).

Note: You can fix common issues with setup by restarting Studio and Claude Desktop. Claude sometimes is hidden in the system tray, so ensure you've exited it completely.

Send requests

1. Open a place in Studio.
2. Type a prompt in Claude Desktop and accept any permissions to communicate with Studio.
3. Verify that the intended action is performed in Studio by checking the console, inspecting the data model in Explorer, or visually confirming the desired changes occurred in your place.