Creating an MCP Server

You can create a Model Context Protocol (MCP) server using either TypeScript or Python, depending on your preference.

TypeScript Implementation

Here's a basic example of implementing an MCP server in TypeScript:

TYPESCRIPTCopied
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";

const server = new Server({
  name: "example-server",
  version: "1.0.0"
}, {
  capabilities: {
    resources: {}
  }
});

// Handle requests
server.setRequestHandler(ListResourcesRequestSchema, async () => {
  return {
    resources: [
      {
        uri: "example://resource",
        name: "Example Resource"
      }
    ]
  };
});

// Connect transport
const transport = new StdioServerTransport();
await server.connect(transport);

Getting Started Options

There are several ways to get started with MCP:

1. Quickstart Guide: The fastest way to see MCP in action by connecting example servers to Claude Desktop
2. Build your first server in Python: Create a simple MCP server in Python to understand the basics
3. Build your first server in TypeScript: Create a simple MCP server in TypeScript to understand the basics

Deployment Options

Based on the available context, MCP servers can be deployed using:

1. Standard Input/Output (stdio) Transport: As shown in the example above, you can use the StdioServerTransport to connect your server via standard input/output.

MCP is designed to enable secure, controlled interactions between AI applications and local or remote resources, so your deployment method would depend on your specific use case and whether you're connecting to local or remote resources.

For more detailed information on deployment options and advanced configurations, you might want to explore the full documentation at the Model Context Protocol website.