Tufan-Blox-Bridge: Roblox Studio MCP Server and Plugin

A free Roblox Studio MCP server and plugin that works as an add-on to Roblox's built-in Studio MCP. Connect Claude Code, Cursor or any MCP client to Roblox Studio and let your AI build, audit and version your game: 87 tools for Luau scripts, instances and properties, plus two-way file sync, git history, snapshots, a backdoor scanner, Luau linting and AI 3D-asset generation.

Keep the built-in server for play tests and screenshots. Add Tufan for everything around them.

Website and overview · npm · Latest release

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Quick install: connect Claude Code or Cursor to Roblox Studio

You need Node.js 18 or newer.

Easiest: paste this into your AI agent

Open Claude Code, Cursor or another AI agent in your Roblox project folder and paste:

Set up Tufan-Blox-Bridge, a Roblox Studio MCP server and plugin, for this project.

1. Run `npx -y tufan-blox-bridge@latest setup` in this folder. It installs the server and the Studio plugin, and registers with Claude Code or Cursor.
2. If it says nothing was registered, add the config it prints to your MCP settings, keeping any servers already there.
3. Don't ask me for API keys. They're optional.
4. Tell me what it did and the next steps it printed.

Or run one command

npx -y tufan-blox-bridge@latest setup

Then restart Roblox Studio and your AI client, and open the Tufan Studio toolbar button. A green pill means it's connected.

Or set it up by hand

1 — One-line installer (run from your Roblox project folder). It checks Node ≥ 18, installs the MCP server globally (npm i -g tufan-blox-bridge), drops the Studio plugin into your Plugins folder (tufan-blox-bridge install-plugin), and auto-registers with Claude Code when the claude CLI is on PATH:

# Windows (PowerShell)
iwr https://raw.githubusercontent.com/drgost1/Tufan-Blox-Bridge/main/install.ps1 | iex

# macOS / Linux
curl -fsSL https://raw.githubusercontent.com/drgost1/Tufan-Blox-Bridge/main/install.sh | bash

2 — Point your AI client at the server (skip if the installer registered it; use forward slashes in the path):

claude mcp add tufan --env TUFAN_PROJECT=C:/path/to/your/project -- tufan-blox-bridge

For Cursor / Claude Desktop / any MCP client:

{
  "mcpServers": {
    "tufan": {
      "command": "tufan-blox-bridge",
      "env": { "TUFAN_PROJECT": "C:/path/to/your/project" }
    }
  }
}

Optional env: TUFAN_OPENCLOUD_KEY (Open Cloud: datastore, cloud_luau, get_server_logs, get_server_history), TUFAN_MESHY_KEY (AI 3D generation).

3 — Restart Studio and your AI client. A Tufan Studio toolbar button appears — open its widget; the pill turns green when connected.

That's it. Your AI can now drive Studio, your scripts mirror to disk, and scan_backdoors is ready.

tufan times out / won't connect? Run claude mcp get tufan and confirm the command is tufan-blox-bridge (global install) or npx -y tufan-blox-bridge. If an argument got dropped, claude mcp remove tufan, then re-run the add. The installer auto-verifies this.

Other install methods

• No install: npx -y tufan-blox-bridge or bunx tufan-blox-bridge.
• Global: npm i -g tufan-blox-bridge → command tufan-blox-bridge.
• Plugin: tufan-blox-bridge install-plugin (copies the bundled .rbxm into your Plugins folder), or manually download TufanBloxBridge.rbxm from Releases (or pwsh scripts/build-plugin.ps1 -Install).

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Why add Tufan when Roblox Studio already has an MCP server?

Roblox's built-in Studio MCP is excellent at running and seeing your game. Tufan is the add-on for building it safely, keeping it versioned and keeping it clean. Install both: they cover different jobs, and Tufan tells your AI which one to use.

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