Starwind UI MCP Server

What does “Starwind UI” MCP Server do?

The Starwind UI MCP (Model Context Protocol) Server is a TypeScript-based local server designed to augment AI assistants by integrating Starwind UI-specific development tools into workflows. By connecting with external AI clients such as Cursor, Windsurf, and Claude, it enables automated actions like project initialization, package management, and access to up-to-date documentation for Starwind UI components. Through its modular, tool-based architecture, the server standardizes common tasks, streamlines development processes, and enhances productivity for developers working with Starwind UI. Its support for features like package manager detection and LLM data fetching allows AI assistants to provide more contextually relevant and efficient assistance during UI development.

List of Prompts

No prompt templates are documented in the provided repository or README.

List of Resources

No explicit resources are listed or described in the repository or documentation.

List of Tools

• init_project
  Initializes a new Starwind UI project.
• install_component
  Generates installation commands for Starwind UI components.
• update_component
  Generates update commands for Starwind UI components.
• get_documentation
  Returns documentation links for Starwind UI components and guides.
• fetch_llm_data
  Fetches LLM data from starwind.dev, with rate limiting and caching.
• get_package_manager
  Detects and returns the current package manager information.

Use Cases of this MCP Server

• Starwind UI Project Setup
  Automate the initialization of new Starwind UI projects, saving developers time and ensuring proper configuration.
• Component Installation and Management
  Streamline the process of installing or updating Starwind UI components via generated commands, reducing manual errors.
• Documentation Retrieval
  Instantly access relevant documentation links and guides for Starwind UI components, improving onboarding and troubleshooting.
• Package Manager Detection
  Automatically detect which package manager (npm, yarn, pnpm) is being used, ensuring commands are compatible with the developer’s environment.
• LLM Data Fetching
  Fetch the latest component or API data from starwind.dev for use in LLM workflows, keeping context and assistance up-to-date.

How to set it up

Windsurf

1. Install Node.js and pnpm (if not already installed).
2. Clone and build the server:
   • git clone https://github.com/starwind-ui/starwind-ui-mcp.git
   • cd starwind-ui-mcp
   • pnpm install && pnpm build
3. Edit your Windsurf configuration (usually in settings.json):

{
  "mcpServers": {
    "starwind ui": {
      "command": "node",
      "args": ["c:\\path\\to\\folder\\starwind-ui-mcp\\dist\\server.js"],
      "env": {}
    }
  }
}

4. Save changes and restart Windsurf.
5. Verify the server is detected in Windsurf’s MCP panel.

Securing API Keys (example)

{
  "mcpServers": {
    "starwind ui": {
      "command": "node",
      "args": ["c:\\path\\to\\folder\\starwind-ui-mcp\\dist\\server.js"],
      "env": {
        "API_KEY": "${env:STARWIND_API_KEY}"
      }
    }
  }
}

Claude

1. Install Smithery CLI (optional):
   • npx -y @smithery/cli install @Boston343/starwind-ui-mcp --client claude
2. Set up the server as above (build, start).
3. Configure Claude to connect to your local MCP server.
4. Restart Claude and verify the MCP server is available.

Example JSON

{
  "mcpServers": {
    "starwind ui": {
      "command": "node",
      "args": ["<path-to>/starwind-ui-mcp/dist/server.js"],
      "env": {}
    }
  }
}

Cursor

1. Follow the build and setup steps from Windsurf.
2. Edit Cursor’s MCP configuration file:

{
  "mcpServers": {
    "starwind ui": {
      "command": "node",
      "args": ["<path-to>/starwind-ui-mcp/dist/server.js"],
      "env": {}
    }
  }
}

3. Save, restart Cursor, and ensure the MCP server is running.

Cline

1. Install prerequisites as above.
2. Build the MCP server.
3. Update Cline’s configuration to point to the local MCP server:

{
  "mcpServers": {
    "starwind ui": {
      "command": "node",
      "args": ["<path-to>/starwind-ui-mcp/dist/server.js"],
      "env": {}
    }
  }
}

4. Restart Cline and verify the server is connected.

Note:
When securing API keys or secrets, always use environment variables. Example:

{
  "env": {
    "API_KEY": "${env:STARWIND_API_KEY}"
  },
  "inputs": {
    "apiKey": "${env:STARWIND_API_KEY}"
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "starwind-ui": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “starwind-ui” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The Starwind UI MCP Server provides a solid set of tools specifically designed for Starwind UI workflows and is easy to set up with common AI IDEs. However, it lacks explicit documentation for prompt templates and resource primitives, and there’s no mention of sampling or root support. The documentation is clear for setup and tool usage.
Score: 6/10 — good for Starwind UI developers, but with limited advanced MCP features.

MCP Score