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MasterGo Magic MCP

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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

Tutorial

Usage

Obtaining MG_MCP_TOKEN

  1. Visit https://mastergo.com
  2. Enter personal settings
  3. Click the Security Settings tab
  4. Find the personal access token
  5. Click to generate the token

Command Line Options

npx @mastergo/magic-mcp --token=YOUR_TOKEN [--url=API_URL] [--rule=RULE_NAME] [--debug]
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

You can also use space-separated format for parameters:

npx @mastergo/magic-mcp --token YOUR_TOKEN --url API_URL --rule RULE_NAME --debug

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

{ "mcpServers": { "mastergo-magic-mcp": { "command": "npx", "args": [ "-y", "@mastergo/magic-mcp", "--token=<MG_MCP_TOKEN>", "--url=https://mastergo.com" ], "env": {} } } }

cline Usage

{ "mcpServers": { "@master/mastergo-magic-mcp": { "command": "npx", "args": [ "-y", "@mastergo/magic-mcp", "--token=<MG_MCP_TOKEN>", "--url=https://mastergo.com" ], "env": {} } } }

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 tools
  • http-util.ts: Utility for handling HTTP requests to the MasterGo API
  • types.d.ts: TypeScript type definitions for the project
src/tools

Contains implementations of MCP tools:

  • base-tool.ts: Base class for all MCP tools
  • get-dsl.ts: Tool for retrieving DSL (Domain Specific Language) data from MasterGo design files
  • get-component-link.ts: Tool for retrieving component documentation from links
  • get-meta.ts: Tool for retrieving metadata information
  • get-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 usage
  • component-workflow.md: Component development workflow documentation guiding structured component development process

Local Development

  1. Run yarn and yarn build to install dependencies and build the code
  2. Find the absolute path of bin/cli.js
  3. Add local MCP configuration with your token
"mastergo-mcp-local": { "command": "node", "args": [ "absolute/path/to/bin/cli.js", "--token=mg_xxxxxx", "--url=https://mastergo.com", "--debug" ], "env": {} },
  1. 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

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security – no known vulnerabilities
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license - not found
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quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A 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.

  1. Key Features
    1. Tutorial
      1. Usage
        1. Obtaining MG_MCP_TOKEN
        2. Command Line Options
        3. LINGMA Usage
        4. cursor Usage
        5. cline Usage
      2. Project Structure
        1. src Directory
      3. Local Development
        1. License

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