Model Context Protocol Server: Integrating ElysiaJS + Bun

Overview: What is Model Context Protocol Server?

The Model Context Protocol (MCP) Server is a lightweight, high-performance API and WebSocket server built on top of ElysiaJS powered by the Bun runtime. This server supports the Model Context Protocol (MCP), providing a standardized interface for AI applications to interact with data sources or tools. The MCP Server comes equipped with features such as WebSocket event handling, hot reloading during development, and an example of supported events like prayer schedules and event registrations.

🔧 Core Features & MCP Capabilities

The core features of the Model Context Protocol Server include:

1. REST API: A powerful endpoint for managing user interactions and data.
2. WebSocket Support: Real-time communication to facilitate interactive sessions or push notifications.
3. MCP Base Support: Provides an infrastructure to integrate with various AI applications, enabling them to handle context-aware operations seamlessly.
4. Hot Reloading During Development: Ensures that the server remains up-to-date and responsive during development cycles.

The MCP Server supports a variety of model contexts, including Prayer Schedule and Event Registration, making it versatile for different use cases in the AI domain.

⚙️ Model Context Protocol (MCP) Architecture & Protocol Implementation

The Model Context Protocol (MCP) is designed to facilitate interactions between AI applications and external data sources or tools. The architecture of the MCP Server involves a clear separation of concerns, ensuring that each component serves its specific function while working together seamlessly.

1. Prerequisites

• Bun Runtime: Version 1.0+; install Bun for running the server.
• Node.js (optional): Useful for installing additional tools like wscat.
• WebSocket Client: Tools such as Postman or wscat can be used to interact with the WebSocket interfaces provided by the server.

2. Installation & Setup

To get started:

# Clone the repository and navigate into the directory
git clone https://github.com/luridarmawan/mcp-api-server.git
cd mcp-api-server

# Install dependencies using Bun
bun install

# Run the development server
bun run dev

During initial setup, ensure that you have the required software installed. The provided commands will guide you through cloning the repository and setting up your development environment.

🚀 Getting Started with Installation

The Model Context Protocol Server is designed to be easy to set up. Here's a step-by-step guide:

1. Clone Repository: Clone the repository from GitHub.
2. Install Dependencies: Use Bun to install required packages.
3. Run Development Server: Execute commands to start the server.

By following these steps, you can quickly set up and test the Model Context Protocol Server in your local environment.

💡 Key Use Cases in AI Workflows

Real-world Scenario 1: Fetching Prayer Times

Developers working on AI applications related to prayer times like Claude Desktop or Continue can use this server to fetch accurate prayer schedule data. For example, the server handles requests from MCP-enabled clients and responds with precise prayer timings based on the provided city.

Example Implementation:

{
  "event": "prayer:schedule",
  "data": {
    "city": "Jakarta"
  }
}

The above JSON snippet demonstrates a typical request structure for fetching prayer times. The server processes such requests and returns the appropriate responses, ensuring seamless integration with MCP clients.

Real-world Scenario 2: User Registration

Similarly, the Model Context Protocol Server can be utilized to manage user registrations in AI applications like Cursor or Continue. When an MCP client sends registration events, the server stores pertinent data and confirms successful registrations via WebSocket notifications.

🔌 Integration with MCP Clients

The protocol is designed to work seamlessly with various MCP clients, including:

• Claude Desktop: Full support for all features.
• Continue: Full support across multiple functionalities.
• Cursor: Supports tools integration but not full client interaction.

For a comprehensive list of compatible MCP clients and their level of support, refer to the MCP Client Compatibility Matrix.

📊 Performance & Compatibility Matrix

The Model Context Protocol Server ensures robust performance and compatibility with different AI applications. Below is an overview of the current status for each supported client:

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

The table above highlights the current compatibility status for each MCP client, providing a clear understanding of their support level.

🛠️ Advanced Configuration & Security

1. MCP Configuration Sample

Below is an example configuration file snippet that illustrates how to set up the MCP Server properly:

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

This configuration ensures that the server is ready for interaction with various AI applications and data sources.

2. Security Measures

Ensure that sensitive information, such as API keys or secrets, are securely managed within your development environment. Consider implementing additional security measures when deploying in production environments.

❓ Frequently Asked Questions (FAQ)

1. How do I ensure MCP clients are fully supported?
   • Verify the compatibility matrix for each client and adhere to the specified requirements.
2. Can other AI applications besides Claude Desktop, Continue, and Cursor use this server?
   • Yes, any application compatible with MCP can utilize this server, although full support may vary based on current capabilities.
3. What security measures should I implement in production?
   • Securely manage API keys and follow best practices for deploying servers to ensure data integrity and privacy.
4. Is hot reloading supported during development?
   • Yes, the Model Context Protocol Server supports hot reloading to facilitate smoother development.
5. How do I integrate this server with other tools or platforms?
   • Refer to the provided documentation and resources for integrating with different environments.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! If you'd like to contribute, please ensure to follow these guidelines:

1. GitHub Repository: Model Context Protocol Server
2. Code of Conduct: Adhere to the code of conduct outlined in the repository.
3. Pull Requests: Submit pull requests for bug fixes or new features.

By following these guidelines, contributors can enhance the functionality and stability of the server, ensuring it remains a valuable resource for developers working with Model Context Protocol integrations.

🌐 MCP Ecosystem & Resources

For further information on building, deploying, and integrating with the Model Context Protocol server, refer to these resources:

• Model Context Protocol
• ElysiaJS Documentation
• Bun Documentation

These references provide comprehensive guidance for developers looking to incorporate the Model Context Protocol into their projects.

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By focusing on these aspects, the Model Context Protocol Server not only serves as a powerful API and WebSocket server but also integrates seamlessly with various AI applications, enhancing their overall functionality and usability.