MasterGo Magic MCP
OfficialSupports structured component development workflows by generating React component specifications and workflow files based on MasterGo design files.
MasterGo Magic MCP
MasterGo Magic MCP is a standalone MCP (Model Context Protocol) service designed to connect MasterGo design tools with AI models. It enables AI models to directly retrieve DSL data from MasterGo design files.
Key Features
Retrieves DSL data from MasterGo design files
Runs directly with npx
No external dependencies required, only Node.js environment needed
Related MCP server: Figma MCP Server
Tutorial
Usage
Obtaining MG_MCP_TOKEN
Visit https://mastergo.com
Enter personal settings
Click the Security Settings tab
Find the personal access token
Click to generate the token
Permission Requirements
Important: If the tool is connected but returns a "no permission" error, please check the following conditions:
Account Version Requirement:
Requires Team Edition or higher MasterGo account
Personal free edition does not support MCP tool access
File Location Requirement:
Design files must be placed in Team Projects
Files in draft box cannot be accessed via MCP tools
Command Line Options
npx @mastergo/magic-mcp --token=YOUR_TOKEN [--url=API_URL] [--rule=RULE_NAME] [--debug] [--no-rule]Parameters:
--token=YOUR_TOKEN(required): MasterGo API token for authentication--url=API_URL(optional): API base URL, defaults to http://localhost:3000--rule=RULE_NAME(optional): Add design rules to apply, can be used multiple times--debug(optional): Enable debug mode for detailed error information--no-rule(optional): Disable default rules
You can also use space-separated format for parameters:
npx @mastergo/magic-mcp --token YOUR_TOKEN --url API_URL --rule RULE_NAME --debugEnvironment Variables
Alternatively, you can use environment variables instead of command line arguments:
MG_MCP_TOKENorMASTERGO_API_TOKEN: MasterGo API tokenAPI_BASE_URL: API base URLRULES: JSON array of rules (e.g.,'["rule1", "rule2"]')
Installing via Smithery Marketplace
Smithery is an MCP server marketplace that makes it easy to install and manage MCP services.
Method 1: Install via Smithery Website
Visit Smithery Marketplace
Click the "Connect" or "Install" button
Select your MCP client (e.g., Claude Desktop, Cursor, etc.)
Follow the prompts to complete installation and configuration
LINGMA Usage
Search for LINGMA in the VSCode extension marketplace and install it.
After logging in, click on [MCP tools] in the chat box.
Click on [MCP Square] at the top to enter the MCP marketplace, find the MasterGo design collaboration tool and install it.
After installation, go back to [MCP Servers], and edit our MCP service to replace it with your own MasterGo token.
Finally, switch the chat mode to agent mode in the chat interface.
cursor Usage
Cursor Mcp usage guide reference: https://docs.cursor.com/context/model-context-protocol#using-mcp-tools-in-agent
You can configure the MCP server using either command line arguments or environment variables:
Option 1: Using command line arguments
{
"mcpServers": {
"mastergo-magic-mcp": {
"command": "npx",
"args": [
"-y",
"@mastergo/magic-mcp",
"--token=<MG_MCP_TOKEN>",
"--url=https://mastergo.com"
],
"env": {}
}
}
}Option 2: Using environment variables
{
"mcpServers": {
"mastergo-magic-mcp": {
"command": "npx",
"args": ["-y", "@mastergo/magic-mcp"],
"env": {
"MG_MCP_TOKEN": "<YOUR_TOKEN>",
"API_BASE_URL": "https://mastergo.com"
}
}
}
}cline Usage
Option 1: Using command line arguments
{
"mcpServers": {
"@master/mastergo-magic-mcp": {
"command": "npx",
"args": [
"-y",
"@mastergo/magic-mcp",
"--token=<MG_MCP_TOKEN>",
"--url=https://mastergo.com"
],
"env": {}
}
}
}Option 2: Using environment variables
{
"mcpServers": {
"@master/mastergo-magic-mcp": {
"command": "npx",
"args": ["-y", "@mastergo/magic-mcp"],
"env": {
"MG_MCP_TOKEN": "<YOUR_TOKEN>",
"API_BASE_URL": "https://mastergo.com"
}
}
}
}Project Structure
src Directory
The src directory contains the core implementation of the MasterGo Magic MCP service:
index.ts: Entry point of the application that initializes the MCP server and registers all toolshttp-util.ts: Utility for handling HTTP requests to the MasterGo APItypes.d.ts: TypeScript type definitions for the project
src/tools
Contains implementations of MCP tools:
base-tool.ts: Base class for all MCP toolsget-dsl.ts: Tool for retrieving DSL (Domain Specific Language) data from MasterGo design filesget-component-link.ts: Tool for retrieving component documentation from linksget-meta.ts: Tool for retrieving metadata informationget-component-workflow.ts: Tool providing structured component development workflow for Vue and React components, generating workflow files and component specifications
src/markdown
Contains markdown files with additional documentation:
meta.md: Documentation about metadata structure and usagecomponent-workflow.md: Component development workflow documentation guiding structured component development process
Local Development
Run
yarnandyarn buildto install dependencies and build the codeFind the absolute path of
dist/index.jsAdd local MCP configuration with your token
"mastergo-mcp-local": {
"command": "node",
"args": [
"absolute/path/to/dist/index.js",
"--token=mg_xxxxxx",
"--url=https://mastergo.com",
"--debug"
],
"env": {}
},Restart your editor to ensure the local MCP is enabled
After successful execution, you can debug based on the local running results. You can build your own MCP service based on your modifications.
We welcome your code contributions and look forward to building MasterGo's MCP service together.
License
ISC
This server cannot be deployed
Maintenance
Related MCP Connectors
Access and maintain design system docs, tokens, components, skills, and contexts across any project.
The Figma MCP server brings Figma design context directly into your AI workflow.
Build and manage your design system with AI: tokens, themes, components, icons, Figma and code.
Zero-setup MCP gateway securely connecting AI to your tools with authentication and workflows
Related MCP Servers
- AlicenseAqualityAmaintenanceA standalone Model Context Protocol service that connects MasterGo design tools with AI models, enabling AI models to directly retrieve DSL data from MasterGo design files.122,139 npm284ISC
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Figma designs using natural language commands, supporting file analysis, component extraction, asset export, comment management, and design system queries through the Figma API.1,772 npm1ISC
- AlicenseAqualityDmaintenanceConnects AI models with MasterGo design tools to retrieve and process DSL data from design files, enabling AI-powered design analysis and manipulation.22,139 npmISC
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.158 npm29MIT