About Wonderland Editor MCP Plugin
Wonderland Editor MCP Plugin connects AI assistants to Wonderland Engine development workflows through a plugin. It requires Wonderland Engine nightly or version 1.4.0 or later.
Key features
- 01Connect AI assistants to Wonderland Engine
- 02Run an MCP server over SSE
- 03Bridge SSE to STDIO with supergateway
Use cases
- 01Use an AI assistant with a Wonderland Engine project
- 02Connect an SSE-capable MCP client
- 03Bridge the server for clients without SSE support
MCP support
The plugin runs an MCP server over SSE at `http://localhost:3020/mcp`. Clients without SSE support can use `supergateway` to wrap the server.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEWonderland Editor MCP Plugin
Overview
The Wonderland Editor MCP Plugin facilitates interaction with the Model Context Protocol (MCP) within the Wonderland Engine, enhancing your development workflows with AI assistants.
Requirements
To use this plugin, you need a nightly version or version 1.4.0+ of Wonderland Engine.
Configuration
Project
First, install the plugin into your project via the "Views > Plugins > Project" view.
AI Agent Client
Once the project is loaded and plugin execution is enabled, the MCP server runs via SSE transport on
http://localhost:3020/mcp.
If you can't use SSE, because your client doesn't support it, you can wrap it like this:
# Wrap the mcp server via STDIO
npx -y supergateway --sse "http://localhost:3020/mcp"
Continue
On Windows:
- name: Wonderland Editor
command: cmd
args:
- /c
- npx
- -y
- supergateway
- --streamableHttp
- http://localhost:3020/sse
Other systems:
- name: Wonderland Editor
command: npx
args:
- -y
- supergateway
- --streamableHttp
- http://localhost:3020/mcp
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.