Codigma MCP Server: Connecting AI Applications to Data Sources

Overview: What is Codigma MCP Server?

The Codigma MCP Server is an essential backend service that enables AI applications to connect seamlessly to specific data sources and tools through a standardized protocol known as Model Context Protocol (MCP). Inspired by the ubiquitous nature of USB-C, Codigma MCP Server acts as an adapter, providing a unified interface for popular AI clients like Claude Desktop, Continue, Cursor, and more. This server ensures that these powerful applications can interact with various external sources without having to worry about proprietary interfaces or complex implementations.

🔧 Core Features & MCP Capabilities

The Codigma MCP Server is designed to be an integral part of the AI development ecosystem by offering several core features:

Figma Integration: One of its primary functions is fetching and converting Figma public file data into structured Codigma Models. These models are then used to generate HTML, CSS, or TailwindCSS-based code that can be directly integrated into web applications.
Data Conversion: The server can map Figma nodes into Codigma Models, enabling a deeper understanding of design elements for AI applications.
Code Generation: Capabilities include generating clean, semantic HTML and CSS, as well as optionally creating TailwindCSS class-based HTML, all while supporting responsive design, fonts, borders, shadows, and gradients.

These features are implemented using the latest version of Node.js, Express 5, TypeScript, Axios for API requests, Jest for testing, and ESLint for maintaining code quality. The server's architecture supports a wide range of AI applications through its flexible and scalable design.

⚙️ MCP Architecture & Protocol Implementation

The Codigma MCP Server is built with the Model Context Protocol (MCP) in mind, ensuring compatibility with various AI clients. Below is a Mermaid diagram illustrating the protocol flow and data architecture:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

This diagram shows that the AI application, through its MCP client, communicates with the MCP protocol. The protocol then interfaces with the Codigma MCP Server, which in turn interacts with data sources or tools.

🚀 Getting Started with Installation

To set up and run the Codigma MCP Server, follow these steps:

1. Clone the Repository

git clone https://github.com/rastmob/codagma-mcp-server.git
cd codigma-mcp-server

2. Install Dependencies

Run the following command to install necessary packages:

npm install

3. Add Figma API Token

Create a .env file with your Figma personal access token:

FIGMA_PERSONAL_ACCESS_TOKEN=your_figma_token_here

For more details on how to obtain an Figma token, visit the Figma Developer API documentation.

4. Run the Server

To run the server in development mode:

npm run dev

For production environment:

npm run build
npm start

💡 Key Use Cases in AI Workflows

The Codigma MCP Server is particularly useful for developers and designers who need to integrate their Figma designs into web applications. Here are two real-world use cases that highlight its capabilities:

Case Study 1: Real-Time Design Updates

When a team at a tech startup needs to quickly update the design of a web application, they can leverage Codigma MCP Server. By inputting the public Figma link and setting up TailwindCSS output, the server generates HTML code with TailwindCSS classes. This reduces the need for manual coding and ensures consistency across the entire development team.

Case Study 2: Responsive Design Optimization

A marketing agency wants to create a responsive design for multiple devices. They can use Codigma MCP Server’s feature to generate responsive designs with CSS media queries, ensuring that their web application looks perfect on all screens. The server converts Figma nodes into Codigma Models and then generates the necessary HTML and CSS code.

🔌 Integration with MCP Clients

The Codigma MCP Server supports a wide range of AI clients through its MCP protocol, making it easy for developers to integrate various applications without complex setup procedures. Currently, the compatibility matrix includes:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

This table highlights the current status of compatibility for various applications, ensuring developers can select the right tools based on their specific needs.

📊 Performance & Compatibility Matrix

The Codigma MCP Server performs well in a variety of scenarios, providing consistent results regardless of the complexity of design elements. Its performance is robust and scalable, making it suitable for both small projects and large-scale enterprise applications. The server supports a wide range of AI tools and resources, ensuring compatibility with diverse ecosystem partners.

🛠️ Advanced Configuration & Security

For advanced users or those looking to customize their installations, the MCP configuration can be set up as follows:

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

This configuration snippet demonstrates the flexibility of setting up MCP servers with specific commands and environment variables.

❓ Frequently Asked Questions (FAQ)

Here are some common questions related to MCP server integration:

Q: Can Codigma MCP Server support multiple AI tools?
A: Yes, Codigma MCP Server is designed to be flexible and can support multiple AI tools through its comprehensive API endpoints.
Q: How do I set up TailwindCSS with the Codigma MCP Server?
A: To enable TailwindCSS with the server, include outputType in your request body as "tailwind." This will generate HTML code with Tailwind CSS classes.
Q: Are there any limitations to Figma designs that can be converted by this server?
A: The server supports a wide range of Figma elements but may encounter issues with extremely complex or large compositions. For best results, stick to standard design complexities.
Q: Can Codigma MCP Server handle private Figma files?
A: Currently, only public Figma files are supported. Private files require OAuth login for access, which is planned as a future feature.
Q: Is the Codigma MCP Server compatible with all browsers and devices?
A: The server supports a wide range of platforms and devices but may have specific requirements depending on the AI applications being used. Ensure compatibility by reviewing the MCP client matrix.

👨‍💻 Development & Contribution Guidelines

We welcome contributions from developers around the world! To contribute, follow these steps:

Fork the repository.
Create a new branch for your feature or bug fix.
Commit your changes and push to your fork.
Open a pull request with details of what you have done.

For more information on contributing guidelines, refer to the ["Contributing" section](https://github.com/rastmob/codigma-mcp-server/blob/master/README.md# Contributing) in the README file.

🌐 MCP Ecosystem & Resources

The Codigma MCP Server is part of a broader ecosystem that includes various resources and tools. For more information, visit:

These resources provide detailed information on using the server and integrating it with different AI applications.

By following this comprehensive documentation, developers can effectively use the Codigma MCP Server to enhance their AI application integrations and streamline web development processes.

Codigma MCP Server