MCP Server SDK: Universal Adapter for AI Applications

Overview: What is MCP Server SDK?

The MCP Server SDK, a work in progress (WIP) MoonBit implementation, serves as an essential adapter for integrating various AI applications with specific data sources and tools through the Model Context Protocol (MCP). This server supports multiple backends, including WebAssembly (Wasm)'s Component Model and a native backend. Developers can leverage this SDK to create versatile MCP servers that enhance the functionality of their AI models by providing both tools and prompts.

🔧 Core Features & MCP Capabilities

This MCP Server SDK is designed with key capabilities to ensure seamless integration across different AI applications. Currently supported features include:

• Version: 2024-11-05
• Transport: Stdio
• Provide server capabilities: Tools and Prompts
• If client capabilities are provided:
  • Call client capabilities (if provided): List roots

These features empower the platform to support a wide range of AI applications and adapt to different data sources and tools. By adhering to the MCP protocol, this SDK ensures compatibility across various clients, making it an indispensable part of modern AI development pipelines.

⚙️ MCP Architecture & Protocol Implementation

The architecture of the MCP Server SDK is built around the Model Context Protocol, which standardizes communication between AI applications and data sources/tools. This protocol supports a rich set of features that enable seamless integration with various platforms. The implementation details involve handling different backends such as Wasm's Component Model and native backend implementations.

Mermaid Diagram: MCP Protocol Flow

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

This diagram illustrates the flow of communication from an AI application to the MCP server, eventually reaching a data source or tool. The protocol ensures efficient and secure data transmission.

🚀 Getting Started with Installation

To get started with setting up your own MCP server using the SDK, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-repo/mcp-server-sdk.git
   

2. Install dependencies:

   npm install
   

3. Run the server:

   npx start
   

Mermaid Diagram: Data Architecture

graph TD
    A[Client] --> B[MCP Server]
    B --> C[Data Source]
    C --> D[System]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#fde3df

This diagram illustrates the data flow architecture, highlighting how client requests are processed through the MCP server and then distributed to relevant data sources.

💡 Key Use Cases in AI Workflows

Use Case 1: Weather Forecasting

Developers can use this MCP server to integrate weather forecasting tools into their applications. By leveraging real-time weather data sources, they can provide users with accurate and timely weather updates. For example:

const mcpServer = new MCPServer();
mcpServer.registerTool("weather", "fetchWeatherData", [
  {
    name: "location",
    type: "string"
  }
]);

// An AI application requests the tool to fetch the weather for a specific location.
mcpServer.handleRequest({
  method: "POST",
  path: "/tools/weather",
  body: { location: "New York" }
});

Use Case 2: Financial Analysis

Another common use case is integrating financial analysis tools into AI applications. This allows developers to provide users with detailed and up-to-date financial information. For instance:

const mcpServer = new MCPServer();
mcpServer.registerTool("finance", "analyzeMarketTrends", [
  {
    name: "ticker",
    type: "string"
  }
]);

// An AI application requests the tool to analyze market trends for a specific stock.
mcpServer.handleRequest({
  method: "POST",
  path: "/tools/finance",
  body: { ticker: "AAPL" }
});

🔌 Integration with MCP Clients

The following table details the compatibility of different MCP clients with this SDK:

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

📊 Performance & Compatibility Matrix

This section outlines the performance and compatibility of the MCP Server SDK across different environments and backends.

Backends Supported

• Wasm's Component Model: Supports real-time data processing in lightweight environments.
• Native Backend: Provides robust support for complex operations and high-performance computing tasks.

Both backends ensure maximum flexibility and compatibility with a wide range of AI applications.

🛠️ Advanced Configuration & Security

The MCP Server SDK offers advanced configuration options to meet specific security and performance requirements. Developers can customize the server settings using JSON configurations, ensuring secure and efficient communication.

Mermaid Diagram: Security Configuration

graph TD
    A[Server Config] --> B[SSL/TLS]
    B --> C[System Access Control]
    style A fill:#f3e5f5
    style C fill:#ecebe9

This diagram illustrates the security configurations, focusing on SSL/TLS encryption and system access control.

Sample Configuration

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key",
        "SSL_CERTIFICATE": "/path/to/certificate.pem",
        "SYSTEM_ACCESS_TOKEN": "system-access-token"
      }
    }
  }
}

❓ Frequently Asked Questions (FAQ)

1. Q: How do I integrate this MCP server into my AI application? A: First, clone the repository and install dependencies. Then, register tools and endpoints as needed. Follow the examples provided in the SDK documentation.

2. Q: What are the prerequisites for working with Wasm's Component Model? A: Ensure your development environment supports WebAssembly (Wasm) and has the necessary runtime libraries installed.

3. Q: Can I customize the security settings? A: Yes, you can configure SSL/TLS certificates and system access controls in the JSON configuration file to enhance security.

4. Q: How do I ensure compatibility with different MCP clients? A: Use the provided compatibility matrix as a reference. Always test your implementation with target clients to ensure smooth operation.

5. Q: What happens if there are changes in the Model Context Protocol? A: Regularly check for updates and align your implementation with the latest protocol specifications. The SDK will provide necessary updates to maintain compatibility.

👨‍💻 Development & Contribution Guidelines

Contributions to the MCP Server SDK are welcome! To get started, follow these steps:

1. Fork the repository: Clone the project from GitHub.
2. Create a pull request: Propose changes and improvements through Git pull requests.
3. Document contributions: Clearly document all changes and enhancements in the appropriate documentation sections.

🌐 MCP Ecosystem & Resources

Explore other resources within the MCP ecosystem to deepen your understanding:

• MCP Client Documentation
• MCP Tools & Services

The MCP community offers extensive support and collaboration opportunities for developers.

By leveraging the MCP Server SDK, you can enhance the capabilities of your AI applications through robust integration with various data sources and tools.