WindUI MCP
Provides AI assistants with offline, deterministic access to WindUI's structured metadata for component, theme, and icon lookup, enabling accurate UI generation without relying on the AI's internal training.
README
WindUI MCP
windui-mcp is an offline, deterministic Model Context Protocol (MCP) server for the WindUI Roblox UI library.
It provides AI assistants (like Claude or Cursor) with structured, programmatic access to WindUI's metadata instead of relying on the AI's internal training memory. Crucially, this server performs knowledge retrieval only—it intentionally does not generate Luau code. This forces the AI to construct the code dynamically while relying on a perfectly accurate, version-aware JSON representation of the library's API.
Features
- Offline Metadata: Operates entirely offline without needing to scrape documentation during runtime.
- Zero Runtime Network Requests: All metadata is pre-built, guaranteeing sub-millisecond context retrieval.
- Fast JSON Lookups: Highly optimized strict parsing logic.
- Alias Resolution: Automatically maps aliases (e.g.,
Checkbox->Toggle) to their canonical component definitions. - Component Search: Look up properties, methods, relationships, and examples programmatically.
- Theme Lookup: Inspect default and active WindUI themes.
- Icon Validation: Built-in verification against Lucide icon manifest.
- Dynamic MCP Resources: Native integration with
windui://URI schemes. - Workflow Prompts: Pre-engineered starting contexts for specialized UI building tasks (like exploits or settings menus).
- Strict TypeScript: Type-safe architecture ensuring structural integrity.
- Zod Validation: Rigorous runtime parameter validation for all MCP tool calls.
- Version-Aware Metadata: Correlates component definitions against library release versions.
- Extensible Architecture: Modular tool and resource registration system.
Installation
To set up and run the server locally:
npm install
npm run update-metadata
npm run build
npm run dev
What these commands do:
npm install: Installs the required@modelcontextprotocol/sdk, Zod, and TypeScript build dependencies.npm run update-metadata: Runs the offline metadata generator, scaffolding the.jsonfiles in thedata/directory based on the latest WindUI release.npm run build: Compiles the strictly typed TypeScript source into executable Javascript in thedist/directory.npm run dev: Usestsxto run the uncompiled source code in standard input/output mode for rapid testing.
Project Structure
.
├── data/ # Contains generated static JSON metadata (components, themes, methods, icons, examples)
├── scripts/ # Holds generator scripts (e.g., update-metadata.ts) for offline JSON mapping
├── src/ # The core MCP server implementation
│ ├── prompts/ # Prompt templates for MCP clients
│ ├── resources/ # Handlers for windui:// dynamic URI resources
│ ├── tools/ # Modular, single-file tool implementations handling Zod input
│ └── utils/ # Shared utilities (data loaders, robust loggers)
├── tests/ # Vitest suite covering alias resolution, lookup validation, and tool behavior
MCP Client Configuration
Because this server operates over the standard input/output (stdio) transport layer, it is natively compatible with standard MCP clients.
Cursor
In your Cursor MCP settings (Settings > MCP), add a new server:
- Type:
command - Command:
node "C:\path\to\your\windui-mcp\dist\index.js"(Ensure you specify the absolute path to the compileddist/index.js).
Claude Desktop
Modify your Claude Desktop claude_desktop_config.json:
{
"mcpServers": {
"windui": {
"command": "node",
"args": [
"/absolute/path/to/windui-mcp/dist/index.js"
]
}
}
}
Antigravity IDE
Modify your mcp_config.json (typically located in C:\Users\<YourUser>\.gemini\config\mcp_config.json):
{
"mcpServers": {
"windui-mcp": {
"command": "node",
"args": ["C:/Workspace/WindUI MCP/dist/index.js"]
}
}
}
Available Resources
The server exposes core structural metadata as raw Resources, which clients can request directly without making tool calls.
windui://version: Returns theversion.jsonfile, revealing the current version of WindUI and the documentation schema version.windui://component/{name}: Directly requests the canonical JSON metadata for a specific component (e.g.,windui://component/Window). It automatically resolves aliases.windui://theme/{name}: Retrieves the JSON object defining the colors and properties of a specified theme (e.g.,windui://theme/Dark).windui://icon/{provider}/{name}: Confirms the existence of a specific icon within a supported provider (e.g.,windui://icon/lucide/home).
Available Tools
The server registers exactly 34 granular tools to allow the AI to extract specific, highly focused information.
Note: This is a partial highlight of the most heavily used tools.
list_components
- Purpose: Returns a list of all currently known WindUI components.
- Input:
{} - Output: Array of component string names.
get_component
- Purpose: Retrieves the comprehensive JSON definition of a component.
- Input:
{ name: "string" } - Output: Full component schema (properties, aliases, allowed children).
search_documentation
- Purpose: Performs a fuzzy/keyword search across the entire offline component metadata library.
- Input:
{ query: "string" } - Output: Ranked array of relevant components/topics matching the query.
list_themes
- Purpose: Lists all available predefined themes.
- Input:
{} - Output: Array of theme string names.
get_theme
- Purpose: Get the specific Hex/RGB properties of a theme.
- Input:
{ name: "string" } - Output: Theme property map.
validate_icon
- Purpose: Checks if a given icon provider/name exists in the manifest, returning closest spelling suggestions if invalid.
- Input:
{ icon: "string" }(e.g.,"lucide:home") - Output:
{ valid: boolean, provider: "string", error?: "string", closestMatches?: string[] }
list_examples
- Purpose: Lists all known codebase snippets/examples provided by WindUI.
- Input:
{} - Output: Array of example string names.
get_example
- Purpose: Retrieves the raw Luau source code snippet for a specific example.
- Input:
{ name: "string" } - Output: The requested code snippet.
Available Prompt Templates
The server provides predefined "Prompts" to give AI clients heavily optimized starting points, forcing them into compliance with your specific use case.
create-window: Starts the context for scaffolding a brand new UI script. Forces the AI to interrogate the user for Window properties before querying metadata.add-component: Contextualizes the AI for injecting a single component into an existing UI.build-settings-menu: Heavily weights the AI toward stateful controls (Toggles, Sliders, Dropdowns) and enforces the usage of WindUI'sFlagproperty for theConfigManager.create-exploit-ui: Enforces strict exploit rules (gethui()bypassing,task.spawnthreading logic,Color3.fromHex) and forbids generic RobloxStarterGuipatterns.migrate-ui: Instructs the AI to focus heavily on mapping equivalent components from a deprecated library over to WindUI.troubleshoot: Instructs the AI to drop assumptions, halt coding, and read component properties or callback signatures via MCP to debug a user's script.
Metadata System
windui-mcp is fiercely dedicated to deterministic context.
- Offline: The server does not perform network requests at runtime.
- Generated: The metadata is generated using
npm run update-metadata, creating static.jsondocuments inside thedata/directory. - Stateless: The runtime never downloads or parses documentation. It solely relies on its static
data/folder, enabling lightning-fast responses. - Version-Aware: The
version.jsonfile stamps the current metadata, allowing tools to explicitly state which build of WindUI the AI is reading.
Development
To develop and extend this server:
npm run build
npm test
npm run dev
npm run build: Emitsdist/using stricttscchecks. No warnings are tolerated.npm test: Runs thevitestunit test suite, targeting the logic files insidesrc/tools/independent of the MCP SDK transport.npm run dev: Spawns the server instantly in standard input/output mode usingtsx. Use this alongside an MCP inspector to watch the stdio streams.
Contributing
We welcome contributions! Because this MCP server relies on deterministic, offline metadata, the workflow for updating or extending the server is strict.
How to Update WindUI Metadata (For New Releases)
If WindUI releases a new version with new components or changed properties, do not rewrite the server logic. You only need to update the offline metadata:
- Modify the Generator: Open
scripts/update-metadata.ts. Add the new components, tweak any changed properties, and update the version number at the top of the file to match the new WindUI release. - Run the Generator: Execute
npm run update-metadatain your terminal. This instantly regenerates all.jsonfiles inside thedata/folder, replacing the old API rules with the new ones. - Build & Verify: Run
npm run buildto ensure the tools still compile against the new schema.
How to Add New MCP Features
- Add Tools: Create a new
.tsfile insidesrc/tools/. You must export ahandle()function and aregister(server)function using strict Zod typing. - Add Resources: Add new URI matching schemes inside
src/resources/dynamic.ts. - Add Prompts: Append new contextual roles to
src/prompts/workflows.ts.
All new features must pass Zod validation and the npm test suite before merging.
Roadmap
This repository is currently v1. Future updates are planned, including:
- Even tighter AI workflow integration (improving how the AI interacts with the server).
- Extended theme management and generation tools.
- Integrating more advanced features and dynamic resource lookups.
AI Testimonial
An AI's opinion after using this MCP server to build a full Roblox showcase script:
How did the MCP help you?
The MCP server was incredibly helpful! It made writing the script a breeze because I didn't have to guess or search the web for the library's syntax.
Here's exactly how it helped me:
- Discoverability: By listing the documentation pages and component properties, I was able to instantly know what components were available (like Button, Dropdown, Slider) and exactly what arguments they accepted (e.g., knowing that a Slider takes
Value = {Min, Max, Default}andStep).- Code Examples: Requesting the
basic-windowandsettings-menuexamples gave me the exact loadstring initialization snippet, which meant I didn't have to hunt down the raw GitHub URL for the WindUI distribution.- Global Methods: Using the tools, I discovered the
SetThemeglobal method, which allowed me to easily implement a working Dark/Light mode toggle in the settings tab.It essentially acted as a fully interactive, built-in documentation source that perfectly guided the creation of the showcase script!
License
This project is licensed under the MIT License. You are free to use, modify, and distribute this software for personal or commercial purposes, provided you include the original copyright notice and license.
Acknowledgements
- Footagesus for the amazing WindUI Roblox UI library.
- Model Context Protocol for standardizing LLM context integration.
- @modelcontextprotocol/sdk for the TypeScript infrastructure.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。