Have you ever tried connecting Claude Code, Codex, Gemini, Cursor, Antigravity, or another AI coding agent to Roblox Studio using MCP for development?
If you have, you’ve probably run into moments like these:
- MCP installation was complicated — you got stuck before even getting started
- The connection between the plugin and MCP keeps dropping or just won’t connect
- No way to tell whether the AI agent actually executed an MCP tool correctly
- No visibility into which instances the AI touched in Studio or in what order
- No idea whether the AI is actually reading the playtest results properly
Handing work off to an AI feels great — until the whole process becomes a black box. WEPPY was built to solve exactly that.
Introducing WEPPY
WEPPY is a toolkit designed to help developers build on Roblox using AI agents like Claude, Codex, Gemini, and Antigravity.
It’s built around two goals:
Goal 1: Create the best possible environment for AI to work effectively in Roblox Studio
Goal 2: Let developers transparently see and control what the AI is doing
Feature 1 — Easy Installation
MCP installation shouldn’t be a barrier. WEPPY offers two ways to install:
One-line Terminal / PowerShell install — A single command handles MCP registration and Studio plugin installation all at once.
Web-based install guide — Not comfortable with the terminal or PowerShell? Follow the step-by-step UI guide on the website and get set up with just a few clicks.
WEPPY can be installed for any AI client that supports MCP. Common setups include Codex, Claude Code, Antigravity, Cursor, and other MCP-capable AI agents.
→ Install page: Install WEPPY
→ Detailed installation guide: Roblox Studio Plugin Installation Guide | WEPPY
Feature 2 — MCP + Plugin Bidirectional Sync
WEPPY connects an MCP server and a Roblox Studio plugin in both directions, giving AI agents everything they need to work effectively inside Studio.
Here’s what AI can do directly through the MCP tools:
- Instance Management — Search, create, delete, clone, and move instances
- Properties & Tags — Read and modify instance properties, manage tags
- Scripts — Read, write, and edit scripts
- Selection — Read and set Studio selection state
- Camera — Query camera info and move focus
- Spatial Query — Explore instances by position
- Assets & Environment — Control lighting, terrain, audio, effects, and more
- Playtest — Run playtests and collect logs
- Luau Script Execution — When needed, execute Luau scripts directly to call virtually any Roblox Studio API
→ Learn more: Tools & Stats | WEPPY
Feature 3 — Connection Stability: Dashboard & Auto-Reconnect
Dashboard auto-launch: When the MCP server starts, the Dashboard launches automatically alongside it. You can check the connection status between MCP and the plugin at a glance.
Plugin auto-reconnect: The plugin displays the live connection status and automatically attempts to reconnect if the connection drops. No more guessing whether things are connected or not.
→ Check connections guide: Check Connections | WEPPY
→ Dashboard guide: MCP Dashboard Guide | WEPPY
→ Troubleshooting: Troubleshooting | WEPPY
Feature 4 — VS Code Explorer & Agent Activity Tracking
Explorer: View the current state of your Studio workspace as a live tree structure directly inside VS Code.
Dashboard Tool History: See exactly which MCP tools the AI agent called, how many times, and whether each one succeeded or failed. Never wonder again whether the AI actually did what it was supposed to do.
→ Explorer guide: Roblox Explorer Guide | WEPPY
→ Tools & Stats: Tools & Stats | WEPPY
Feature 5 — Playtest Monitoring
Logs, errors, and events during playtesting are visible to both the AI and the developer in real time. The AI can read playtest results directly and use them to inform the next steps — no manual copy-pasting required.
→ Learn more: Playtest | WEPPY
Feature 6 - UI Studio
UI Studio helps AI agents create UI that fits the actual style and context of your Roblox game, instead of generating a generic interface from a simple prompt.
Before starting UI work, the AI Agent analyzes the game’s visual style, genre, existing screen layout, and available assets. If the request is too vague, it first plans the UI direction more clearly so the result is closer to the game you are actually building.
The AI Agent can also review the generated UI and suggest improvements for issues that may affect real gameplay, such as button size, readability, visibility, and layout.
When UI changes are made, WEPPY records screenshots and change details in the dashboard history, so you can review what changed, when it changed, and how the UI evolved over time.
→ Learn more: UI Studio Guide | WEPPY
Links
- GitHub: GitHub - hope1026/weppy-roblox-mcp: Roblox Studio MCP server & plugin for Claude Code, Cursor, Codex, and Gemini. AI-powered scripts, terrain, assets, lighting, and bidirectional project sync. · GitHub
- Demo Video: https://www.youtube.com/watch?v=j14LZHYzLg8
- Website: https://weppyai.com
- Full Docs: WEPPY Docs Home | WEPPY
- npm: https://www.npmjs.com/package/@weppy/roblox-mcp
WEPPY is still a work in progress, and there’s plenty left to improve.
This project started from the frustrations I ran into while building with AI agents — and I suspect some of you have felt the same. If you give it a try and have feedback or ideas, feel free to drop them in GitHub Issues or right here in this thread. I’d genuinely appreciate it.










