MCP Unreal Server
M

MCP Unreal Server

A server implementation for interacting with Unreal Engine instances through remote Python execution, supporting node management, remote code execution, and real-time monitoring.
2.5 points
8.7K

What is MCP Unreal Server?

MCP Unreal Server is a middleware service that allows developers to remotely control and manage running Unreal Engine instances over the network. It enables two-way interaction with the Unreal Editor through a Python execution environment, making it particularly suitable for scenarios such as automated testing, batch asset processing, and distributed rendering.

How to use MCP Unreal Server?

After starting the service, any Unreal instance configured with the MCP plugin will be automatically discovered. You can execute Python scripts, obtain engine status, or manage resources by sending JSON instructions.

Use Cases

Automated testing pipelines, cross-project asset migration, multi-instance collaborative editing, remote rendering farm control, CI/CD integrated development environment

Main Features

Automatic Node Discovery
Automatically detect Unreal instances on the network through the multicast protocol without manual IP address configuration
Remote Python Execution
Supports three execution modes: file execution, statement execution, and expression evaluation to meet different scenario requirements
Real-time Monitoring
Continuously track node connection status and resource usage. An automatic reconnection mechanism for exceptions ensures stability
LSP Compatibility
API design compatible with the Language Server Protocol, supporting code completion and resource navigation
Advantages
The zero-configuration discovery mechanism significantly reduces deployment complexity
Fine-grained execution control (supports synchronous/asynchronous modes)
Cross-platform support (Windows/Linux/macOS)
Detailed logging facilitates problem troubleshooting
Limitations
The MCP plugin needs to be installed in Unreal instances
Multicast communication may be restricted by enterprise network policies
The Python execution environment depends on the version of the Unreal built-in interpreter

How to Use

Environment Preparation
Ensure that all Unreal Engine instances have the MCP plugin installed (built-in for versions 4.27+)
Start the Service
Run the server main program in the console, which listens on 239.0.0.1:6766 by default
Node Discovery
The service will automatically discover Unreal instances on the network. You can view the connection status through the logs
Send Instructions
Send JSON-formatted instructions through the HTTP/REST interface or a direct TCP connection

Usage Examples

Batch Asset Import
Distribute asset import tasks to multiple Unreal instances simultaneously
Distributed Lighting Build
Assign lighting build tasks to different nodes in the rendering farm

Frequently Asked Questions

Why isn't my Unreal instance being discovered?
What should I do if Python execution times out?
How can I view detailed debug logs?

Related Resources

Official Documentation
Complete API reference and architecture description
Example Code Repository
A collection of example scripts for common operations
Plugin Installation Guide
Video demonstration of the plugin installation and configuration process

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
10.5K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
10.7K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
7.9K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
10.4K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
9.1K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
19.5K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.1K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
56.8K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
25.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
53.1K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
38.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase