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Roblox Studio MCP 服务器

Organization
Roblox

Standalone Roblox Studio MCP Server

PublisherRoblox
Repositorystudio-rust-mcp-server
LanguageRust
Forks
75
Stars
466
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Roblox Studio MCP 服务器 exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    466 stars and 75 forks from the linked repository.

[!WARNING]

This MCP Server is no longer being actively developed

We’ve shifted ongoing engineering investment to the built-in MCP Server included with Roblox Studio, which we recommend as the best way to connect external AI tools going forward.

This server’s source code and previous releases will remain available here for reference and existing workflows.

Quick Setup

  1. Download and Run the server: Windows or macOS
  2. Restart AI Client (Claude, Cursor, etc) and Roblox Studio
  3. Done!

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.

Scheme

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

Included tools

  • run_code - Runs a command in Roblox Studio and returns the printed output. Can be used to both make changes and retrieve information.
  • insert_model - Inserts a model from the Roblox Creator Store into the workspace. Returns the inserted model name.
  • get_console_output - Gets the console output from Roblox Studio.
  • start_stop_play - Starts or stops play mode or runs the server.
  • run_script_in_play_mode - Runs a script in play mode and automatically stops play after the script finishes or times out. Returns structured output including logs, errors, and duration.
  • get_studio_mode - Gets the current Studio mode (start_play, run_server, or stop).

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:

json
{
  "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.

For Claude Desktop, go to Settings > Developer > Edit Config. This opens location of the claude_desktop_config.json.

Some clients require user to setup the mcp server manually for each project. For example, Claude Code command would look like this:

sh
claude mcp add --transport stdio Roblox_Studio -- '/Applications/RobloxStudioMCP.app/Contents/MacOS/rbx-studio-mcp' --stdio

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.
    sh
    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.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "roblox-studio-rust-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "studio-rust-mcp-server"
      ]
    }
  }
}

Use Roblox Studio MCP 服务器 MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Roblox Studio MCP 服务器 is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Roblox Studio MCP 服务器 as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Roblox Studio MCP 服务器 MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "roblox-studio-rust-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "studio-rust-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Roblox Studio MCP 服务器 MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Roblox Studio MCP 服务器 MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Roblox Studio MCP 服务器 to help me with this task?
Roblox Studio MCP 服务器
Sure. I read it.
Here is what I found using Roblox Studio MCP 服务器.

Frequently asked questions

What is the Roblox Studio MCP 服务器 MCP server used for?

Roblox Studio MCP 服务器 is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Roblox Studio MCP 服务器 MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Roblox Studio MCP 服务器 with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Roblox Studio MCP 服务器 MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Roblox Studio MCP 服务器 connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Roblox Studio MCP 服务器 MCP to TypingMind?

Roblox Studio MCP 服务器 runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Roblox Studio MCP 服务器 MCP provide in TypingMind?

Roblox Studio MCP 服务器 exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Roblox Studio MCP 服务器 MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Roblox Studio MCP 服务器 requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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