UnrealMotionGraphicsMCP

Name: UnrealMotionGraphicsMCP
Author: winyunq

by winyunq

🚀 UE5-UMG-MCP: A deep-focused MCP for Unreal Engine UMG layout. Designed to maximize AI efficiency within limited context windows by prioritizing precision in UI structure, animations, and blueprint integration.

157 0 tools GitHub

No known CVEs

MIT license

Actively maintained

Last commit 13d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

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Design Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "unrealmotiongraphicsmcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/unrealmotiongraphicsmcp)](https://mcppedia.org/s/unrealmotiongraphicsmcp)

Read me

What UnrealMotionGraphicsMCP does

Demo Designed A RTS UI - Demo Recreating the UE5 editor - Demo Recreating the UE5 editor in UMG editor - Chat with Gemini 3 to editor the UMG file

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Score breakdown

40/100across 5 weighted dimensions

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−60

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Security

OSV.dev

No known CVEs.

No package registry to scan.

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is UnrealMotionGraphicsMCP safe to use?: UnrealMotionGraphicsMCP has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install UnrealMotionGraphicsMCP?: UnrealMotionGraphicsMCP can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with UnrealMotionGraphicsMCP?: UnrealMotionGraphicsMCP is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is UnrealMotionGraphicsMCP actively maintained?: UnrealMotionGraphicsMCP is actively maintained — last commit was 13 days ago. It has 157 GitHub stars.

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

UE5-UMG-MCP 🤖📄

A Version-Controlled AI-Assisted UMG Workflow

🛍️ Looking for an easier Setup? → Purchase UMG MCP on Fab Marketplace

If you find manual plugin configuration and MCP environment setup too cumbersome, check out our commercial version on Fab: UMG MCP on Fab Marketplace

Differences between Fab and Open Source versions:

Out-of-the-Box: The Fab version installs directly via the Unreal Engine launcher, eliminating the need for manual cloning and Python environment setup.
Context Compression: The Fab version includes advanced context management, automatically filtering redundant MCP history to maximize available tokens for the AI.
Commercial Focus: While the Open Source version is our protocol testbed, the Fab version is optimized for production business logic. Commercial users receive prioritized support for their specific integration challenges.
Maintained Parity: We remain committed to open source; all core logic improvements will continue to be synced to this GitHub repository.

👉 View Developer Program — contribute to the project and get Fab access for free.

🚀 Quick Start

This guide covers the two-step process to install the UmgMcp plugin and connect it to your Gemini CLI.

Prerequisite: Unreal Engine 5.6 or newer.

1. Install the Plugin

Navigate to your project's Plugins folder: YourProject/Plugins/ (create it if it doesn't exist).

Clone the repository directly into this directory:

git clone https://github.com/winyunq/UnrealMotionGraphicsMCP.git UmgMcp

Restart the Unreal Editor. This allows the engine to detect and compile the new plugin.

2. Connect the Gemini CLI

Tell Gemini how to find and launch the MCP server.

Edit your settings.json file (usually located at C:\Users\YourUsername\.gemini\).

Add the tool definition to the mcpServers object.

"mcpServers": {
  "UmgMcp": {
    "command": "uv",
    "args": [
      "run",
      "--directory",
      "D:\\Path\\To\\YourUnrealProject\\Plugins\\UmgMcp\\Resources\\Python",
      "UmgMcpServer.py"
    ]
  }
}

IMPORTANT: You must replace the path with the correct absolute path to the Resources/Python folder from the cloned repository on your machine.

That's it! When you start the Gemini CLI, it will automatically launch the MCP server in the background.

Testing the Connection

After restarting your Gemini CLI and opening your Unreal project, you can test the connection by calling any tool function:

  cd Resources/Python/APITest
  python UE5_Editor_Imitation.py

Python Environment (Optional)

The plugin's Python environment is managed

... View full README on GitHub

Frequently Asked Questions

Is UnrealMotionGraphicsMCP safe to use?

UnrealMotionGraphicsMCP has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install UnrealMotionGraphicsMCP?

UnrealMotionGraphicsMCP can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with UnrealMotionGraphicsMCP?

UnrealMotionGraphicsMCP is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is UnrealMotionGraphicsMCP actively maintained?

UnrealMotionGraphicsMCP is actively maintained — last commit was 13 days ago. It has 157 GitHub stars.

UE5-UMG-MCP 🤖📄

A Version-Controlled AI-Assisted UMG Workflow

🛍️ Looking for an easier Setup? → Purchase UMG MCP on Fab Marketplace

If you find manual plugin configuration and MCP environment setup too cumbersome, check out our commercial version on Fab: UMG MCP on Fab Marketplace

Differences between Fab and Open Source versions:

Out-of-the-Box: The Fab version installs directly via the Unreal Engine launcher, eliminating the need for manual cloning and Python environment setup.
Context Compression: The Fab version includes advanced context management, automatically filtering redundant MCP history to maximize available tokens for the AI.
Commercial Focus: While the Open Source version is our protocol testbed, the Fab version is optimized for production business logic. Commercial users receive prioritized support for their specific integration challenges.
Maintained Parity: We remain committed to open source; all core logic improvements will continue to be synced to this GitHub repository.

👉 View Developer Program — contribute to the project and get Fab access for free.

🚀 Quick Start

This guide covers the two-step process to install the UmgMcp plugin and connect it to your Gemini CLI.

Prerequisite: Unreal Engine 5.6 or newer.

1. Install the Plugin

Navigate to your project's Plugins folder: YourProject/Plugins/ (create it if it doesn't exist).

Clone the repository directly into this directory:

git clone https://github.com/winyunq/UnrealMotionGraphicsMCP.git UmgMcp

Restart the Unreal Editor. This allows the engine to detect and compile the new plugin.

2. Connect the Gemini CLI

Tell Gemini how to find and launch the MCP server.

Edit your settings.json file (usually located at C:\Users\YourUsername\.gemini\).

Add the tool definition to the mcpServers object.

"mcpServers": {
  "UmgMcp": {
    "command": "uv",
    "args": [
      "run",
      "--directory",
      "D:\\Path\\To\\YourUnrealProject\\Plugins\\UmgMcp\\Resources\\Python",
      "UmgMcpServer.py"
    ]
  }
}

IMPORTANT: You must replace the path with the correct absolute path to the Resources/Python folder from the cloned repository on your machine.

That's it! When you start the Gemini CLI, it will automatically launch the MCP server in the background.

Testing the Connection

After restarting your Gemini CLI and opening your Unreal project, you can test the connection by calling any tool function:

  cd Resources/Python/APITest
  python UE5_Editor_Imitation.py

Python Environment (Optional)

The plugin's Python environment is managed

... View full README on GitHub