What is Sbb Mcp Server

sbb-mcp-server is a starter project for building Model Context Protocol (MCP) servers using TypeScript. It provides a simple echo server implementation that showcases the core functionalities of MCP.

Use cases

Use cases for sbb-mcp-server include building AI tools that require server interactions, developing applications that need real-time updates, and creating custom tools for specific data processing tasks.

How to use

To use sbb-mcp-server, clone the repository, install dependencies, and start the development server. You can then access the inspector to test the server and customize it by adding your own tools, resources, and prompts.

Key features

Key features of sbb-mcp-server include a straightforward echo server implementation, easy setup for local development, and the ability to connect to deployed servers via SSE (Server-Sent Events).

Where to use

sbb-mcp-server can be used in various fields such as AI development, real-time data processing, and any application requiring a server-client architecture for communication.

MCP TypeScript Server Starter

A starter project for building Model Context Protocol (MCP) servers in TypeScript. This project provides a simple echo server implementation that demonstrates the core features of MCP.

Quick Start Checklists

📥 Installation

• [ ] Clone the repository:

  git clone https://github.com/ralf-boltshauser/mcp-typescript-server-starter.git
  cd mcp-typescript-server-starter
  

• [ ] Install dependencies:

  pnpm install
  

🛠️ Local Development

• [ ] Start the development server:

  pnpm dev
  

• [ ] Access the inspector at http://localhost:6274
• [ ] Test your MCP server:
  1. Click on “Connect” in the inspector
  2. Navigate to “Tools” section
  3. Click “List Tools”
  4. Select “echo” tool
  5. Write a test message
  6. Click “Submit”
• [ ] Open src/index.ts to add your own:
  • Tools (functions your AI can call)
  • Resources (data your AI can access)
  • Prompts (templates for AI interactions)
• [ ] Update src/index.html with your server’s description and documentation

🚀 Deployment (Coolify Example)

• [ ] Set up on Coolify:
  1. Connect your repository
  2. In advanced settings:
     • [ ] Disable GZIP compression (required for SSE)
  3. Configure domain:
     • [ ] Add your domain as: https://subdomain.yourdomain.com:3001
       • The :3001 is crucial - it tells traefik to bind to your internal port
• [ ] Verify deployment:
  1. Visit subdomain.yourdomain.com to see your index.html
  2. Test SSE connection at https://subdomain.yourdomain.com/sse

🔌 Connecting to Your Deployed Server

Use this command to connect to your server:

npx -y mcp-remote https://subdomain.yourdomain.com/sse

Example configuration for Cursor/Claude Desktop:

Features

• Simple echo server implementation
• Support for tools, resources, and prompts
• TypeScript support
• Development server with hot reloading
• Built-in inspector for testing and debugging
• Support for both STDIO and SSE communication modes

Prerequisites

• Node.js (v16 or later)
• pnpm (recommended) or npm

Usage Modes

This server supports two main communication modes:

1. STDIO Mode

   • Ideal for local development and basic testing
   • Direct process communication
   • Used by most MCP clients by default
   • Perfect for running servers locally
   • Simple to set up and use

2. SSE Mode

   • Better for production deployments
   • HTTP/SSE communication
   • Can be converted to STDIO using npm packages (covered later)
   • Enables remote access to your server
   • More scalable and production-ready

Choose STDIO for local development and SSE when you need to deploy your server for remote access.

STDIO Mode (Direct Process Communication)

This mode is ideal for direct integration with tools like Cursor or Claude Desktop.

1. Configure the Server

   • In src/index.ts:
     • Comment out the Express/SSE code at (the bottom)
     • Uncomment the STDIO code (above it)

2. Build and Run

   pnpm build
   node dist/index.cjs
   

or

pnpm dev # starts the server and the inspector

3. Integration with Claude Desktop

   pnpm add-claude
   

   ⚠️ Note: This will overwrite your existing Claude Desktop configuration.

   This way of configuring claude desktop is standard. The json that is generated can also be used in cursor and so on!

4. Manual Integration
   For other tools, use the command:

   node /path/to/your/project/dist/index.cjs
   

   or

   pnpm cmd # this gives you the node .../dist/index.cjs command directly with pwd
   

SSE Mode (HTTP/SSE Communication)

This mode is ideal for web-based tools and remote deployments.

1. Configure the Server

   • In src/index.ts:
     • Keep the Express/SSE code enabled (at the bottom)
     • Comment out the STDIO code (above it)

2. Local Development

   pnpm dev
   

   The server will be available at:

   • Main endpoint: http://127.0.0.1:3001
   • SSE endpoint: http://127.0.0.1:3001/sse
   • Test endpoint: http://127.0.0.1:3001/test
   • Inspector: http://127.0.0.1:6274

3. Local Docker Testing
   The docker compose override is needed to actually expose the ports. When deploying to stuff like coolify you don’t want it because traefik will handle it.

   docker compose -f docker-compose.yaml -f docker-compose.local.yaml up
   

4. Production Deployment (e.g., Coolify)

   • Ask your IDE to update src/index.html to match your servers description.
   • Deploy the server to your preferred platform
   • Important: In Coolify’s advanced settings:
     • Disable GZIP compression (this kills the SSE stream)
     • Ensure port 3001 is properly exposed -> when setting a domain do it like this: https://your-domain.com:3001 this tells traefik to bind to port 3001.
     • Configure the server to listen on all interfaces (0.0.0.0) (already done)

5. Using the Remote Server
   Once deployed, you can connect to the server using:

   npx -y mcp-remote https://your-domain.com/sse
   

   You can paste this as command and replace the “node …/dist/index.cjs” with this.

Project Structure

• src/index.ts - Main server implementation
• src/low-level-index.ts - Alternative implementation using the low-level API
• dist/ - Compiled output directory

Server Features

Echo Tool

A simple tool that echoes back the input message:

server.tool("echo", { message: z.string() }, async ({ message }) => ({
  content: [{ type: "text", text: `Tool echo: ${message}` }],
}));

Echo Resource

A resource that can be accessed via URI:

server.resource(
  "echo",
  new ResourceTemplate("echo://{message}", { list: undefined }),
  async (uri, { message }) => ({
    contents: [
      {
        uri: uri.href,
        text: `Resource echo: ${message}`,
      },
    ],
  })
);

Echo Prompt

A prompt template for processing messages:

server.prompt("echo", { message: z.string() }, ({ message }) => ({
  messages: [
    {
      role: "user",
      content: {
        type: "text",
        text: `Please process this message: ${message}`,
      },
    },
  ],
}));

Implementation Recommendations

Debug Messages

Debug messages can be sent using the server.server.sendLoggingMessage method to provide visibility into server operations.

Basic Usage

server.server.sendLoggingMessage({
  level: "info",
  data: "Starting server...",
});

This allows you to:

• Track server operations in real-time
• Debug issues during development
• Monitor server state in production

You can see them in the inspector on the bottom right!

Environment Variables

For server-side environment variables (developer-provided, not user-specific):

1. Using Docker Compose

   # docker-compose.yaml
   services:
     mmcp-server:
       environment:
         - API_KEY=${API_KEY}
         - DATABASE_URL=${DATABASE_URL}
   

   This allows you to:

   • Set variables in your shell: export API_KEY=your-key
   • Use a .env file that Docker Compose will automatically load

2. Accessing in Code

   const apiKey = process.env.API_KEY;
   const dbUrl = process.env.DATABASE_URL;
   

3. Local Development

   • Create a .env file in your project root:

     API_KEY=sk-123
     

   • Add .env to .gitignore to keep secrets secure
   • Run the development server with environment variables:

     pnpm dev
     

4. Production Deployment

   • Set environment variables in your deployment platform (e.g., Coolify)
   • Never commit sensitive values to version control

Best Practices

1. Error Handling

   • Always implement proper error handling for environment variables
   • Provide meaningful error messages for missing required variables

2. Type Safety

   • Use TypeScript to define environment variable types
   • Consider using a validation library like zod for runtime checks

3. Security

   • Never expose sensitive environment variables to the client
   • Use different sets of variables for development and production

License

MIT