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Unreal MCP Server

@aadeshrao123

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

aadeshrao123

提交者

Aadesh Yadav

关于 Unreal MCP Server

MCP bridge that connects AI coding assistants to the Unreal Engine 5 editor. Create materials, blueprints, spawn actors, manage data tables, profile performance, and 100+ more tools — all through natural language. Works with Claude Code, Cursor, VS Code, Gemini, Windsurf, JetBrai

#unreal-engine#gamedev#ue5#blueprints#materials#editor#game-development#profiling#ai-tools

Unreal MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "unreal": {
      "command": "unrealmcp",
      "args": [],
      "env": {}
    }
  }
}

Unreal MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Unreal MCP?

Unreal MCP is a Model Context Protocol bridge for Unreal Engine 5 that enables AI assistants to control the editor through over 100 tools. It is designed for game developers using UE5 who want to leverage AI coding assistants like Claude Code, Cursor, or GitHub Copilot to automate editor tasks.

How to use Unreal MCP?

Install the Python package via pip install unrealmcp, then add the server to your AI tool’s MCP configuration with "command": "unrealmcp". The server automatically discovers a running UE5 editor instance via a port file—no manual paths, tokens, or Docker setup are required.

Key features of Unreal MCP

  • 100+ editor tools covering materials, blueprints, actors, data tables, widgets, enhanced input, and profiling
  • Built-in support for 8 AI assistants: Claude Code, Cursor, VS Code/Copilot, Gemini CLI, Windsurf, JetBrains/Rider, Zed, and Amazon Q
  • Zero configuration: simply specify "command": "unrealmcp" in your MCP config
  • Auto-discovers the running UE5 editor via a port file—no manual port mapping
  • Tested on Unreal Engine 5.7, likely works on earlier 5.x versions

Use cases of Unreal MCP

  • Create and compile Blueprints, add components, variables, functions, and graph nodes via AI prompts
  • Build and apply material node graphs, create material instances, and assign them to actors
  • Spawn, transform, and delete actors; get and set their properties programmatically
  • Manage data tables (schema, add/update/delete rows) and data assets (create, read/write properties)
  • Start/stop profiling traces, diagnose bottlenecks, and review flame charts and frame analysis

常见问题

1

Which AI tools are supported?

The server supports Claude Code, Cursor, VS Code/Copilot, Gemini CLI, Windsurf, JetBrains/Rider, Zed, and Amazon Q.

2

How does Unreal MCP connect to the Unreal Engine editor?

A C++ plugin runs inside the UE5 editor as a TCP server. The Python MCP server translates AI tool calls into TCP commands. The server auto-discovers the editor via a port file, so no manual port configuration is needed.

3

Which Unreal Engine versions are compatible?

The bridge has been tested on Unreal Engine 5.7 and may work on earlier 5.x versions.

4

Do I need to install any additional plugins or dependencies?

The `unrealmcp` package handles the MCP side; a C++ plugin runs inside the UE5 editor. No additional tokens, paths, or Docker setup are required.

5

Can I use Unreal MCP without configuring ports?

Yes. The server auto-discovers the running editor via a port file, eliminating the need for manual port configuration.

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