ui-toolkit-mcp
Enables AI agents to inspect Unity UI Toolkit screens, examine element structure and styles, and capture screenshots without entering Play Mode or building a Player.
README
UI Toolkit MCP
An MCP server that lets AI agents inspect UI Toolkit screens while the Unity Editor remains open. It can examine the structure and appearance of UXML/USS files and capture screenshots without entering Play Mode or building a Player.
Key features:
- List UXML files and open UI Toolkit windows
- Inspect element trees, text, values, positions, sizes, and resolved styles
- Capture an entire screen or a selected element as a PNG image
- Automatically split long screens into tiles (up to 8192 px per image and 100 MP in total)
- Reimport UXML/USS files
- Compatibility tested with Unity 2022.3 LTS and Unity 6.3
Setup
1. Add the Unity package
In the Unity Editor, open Window > Package Manager, click the + button in the upper-left corner, and select Add package from git URL....
Enter the following URL:
https://github.com/adzukyat/ui-toolkit-mcp.git?path=/unity-package
The preview server starts automatically after Unity finishes script compilation. Keep the Unity Editor open while using it.
2. Register the MCP server
Node.js 20 or later is required. Example configuration for Codex:
[mcp_servers.ui_toolkit_mcp]
command = "npx"
args = [
"-y",
"ui-toolkit-mcp-server@latest",
"mcp"
]
MCP tools
| Tool | Purpose |
|---|---|
ui_list_projects |
List open Unity projects that have the package installed |
ui_select_project |
Select the Unity project to work with |
ui_status |
Check the Unity version and connection status |
ui_list_targets |
List preview configurations, UXML files, and open EditorWindow instances |
ui_inspect |
Inspect the structure, position, size, and styles of UI elements |
ui_screenshot |
Capture the UI as a PNG image |
ui_reload |
Reload UXML/USS changes in Unity |
Start with ui_list_projects to find a project, then select it with ui_select_project. Next, use ui_list_targets to find the screen you want to inspect, followed by ui_inspect or ui_screenshot.
Preview configuration (optional)
Place a .ui-toolkit-mcp-preview.json file in the project root to define stable aliases, additional USS files, themes, and viewports. Copy and adapt the following example:
{
"$schema": "./Packages/me.adzuki.ui-toolkit-mcp.preview-server/Schemas/ui-toolkit-mcp-preview.schema.json",
"schemaVersion": 1,
"previews": [
{
"alias": "settings",
"document": "Assets/UI/Settings.uxml",
"stylesheets": ["Assets/UI/Settings.uss"],
"theme": "editor-dark",
"background": "#383838",
"selector": "#settings-root",
"viewport": { "width": 480, "height": "full" }
}
]
}
Supported themes are editor-dark, editor-light, and runtime. background accepts theme, #RRGGBB, or #RRGGBBAA. A panelSettings asset path can also be specified for the runtime theme.
Screenshots use the selected theme's standard canvas color by default (#383838 for Editor Dark and #C8C8C8 for Editor Light). Pass #00000000 as background when a transparent PNG is required. Runtime previews remain transparent unless the UI itself paints a background.
Development and verification
npm test
npm run typecheck
npm run build
node scripts/mcp-smoke.mjs [project-id]
Unity EditMode tests are located in test-projects/2022.3 and test-projects/6000.3. Pixel-accurate verification requires a graphics device. Tree inspection works with -nographics, but PNG rendering does not, so perform final verification in a normally launched Unity Editor.
Current limitations
- The server primarily targets static UI states. For screens constructed later in C#, open the actual
EditorWindowor prepare the required state in a preview UXML file. - The Editor offscreen renderer calls internal UI Toolkit APIs through reflection.
ui_statusreports a warning for unsupported Unity versions. - Open-window IDs are valid only for the current Unity session.
- Pseudo-state injection such as hover and focus, pointer/keyboard interaction, and fixed animation time are not yet supported.
- Fonts, icons, custom controls, and data bindings are rendered only when they can be resolved in the target project.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.