Allows AI agents to control Roblox Studio via HTTP requests, enabling scripted interactions with the Studio environment.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP bridge that connects Roblox Studio to local AI agents
Open Roblox Studio.
Open any project and navigate to the Assistant panel.
Click the three dots (...), select Manage MCP Servers, and ensure the option is enabled.
Locate and copy the absolute path to your local mcp.bat file.
Clone this repository to your local machine.
Edit config.json and paste your absolute path into the ROBLOX_MCP_PATH variable.
Double-click run.bat to automatically build the virtual environment, install dependencies, and launch the server.
Once the bridge is running, any AI agent or local script can control Roblox Studio by sending HTTP requests to the server.
Before running commands, contact the bridge to see which functions your current version of Roblox Studio exposes.
cURL:
curl -X GET [http://127.0.0.1:8000/tools](http://127.0.0.1:8000/tools)Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Connect AI assistants to your approved computer for files, commands, browser and desktop tasks.
Connect AI agents to Replynodes over the Model Context Protocol.
Connect AI agents to the Totem network for communication and work coordination.
Connect AI agents to Flato's editable canvas runtime through a hosted MCP server.
