
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Gaming & Gamification · Developer Tools

playcanvas/editor-mcp-server
An MCP server for automating the PlayCanvas Editor with an LLM. The MCP client is built into the Editor — no browser extension needed. Install the server into your MCP client of choice (Claude Code, Codex, Claude Desktop, Cursor, …) and connect the Editor to it.
npx -y @playcanvas/editor-mcp-server{
"mcpServers": {
"playcanvas": {
"command": "npx",
"args": [
"-y",
"@playcanvas/editor-mcp-server"
]
}
}
}Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.

hedge-dev/XenonRecomp
XenonRecomp is a tool that converts Xbox 360 executables into C++ code, which can then be recompiled for any platform.

justinpbarnett/unity-mcp
Create your Unity apps with LLMs. MCP for Unity bridges AI assistants — Claude, Codex, VS Code, local LLMs, and more — with your Unity Editor via Model Context Protocol. Give your LLM the tools to manage assets, control scenes, edit scripts, run tests, and automate your game dev workflows.

chongdashu/unreal-mcp
This project enables AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).

codergamester/mcp-unity
MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects.

arodoid/unitymcp
UnityMCP is a powerful Unity Editor plugin that implements the Model Context Protocol (MCP), enabling seamless integration between Unity and AI assistants. It provides real-time editor state monitoring, remote command execution, and comprehensive logging capabilities.

coding-solo/godot-mcp
Godot MCP enables AI agents to launch the Godot editor, run projects, capture debug output, and control project execution. This direct feedback loop helps agents understand what works and what doesn't in real Godot projects, leading to better code generation and debugging assistance.