🚀 Build a Remote MCP Server That Connects to Any MCP Client (Claude, VSCode & More)

The Model Context Protocol (MCP) is quickly becoming the new universal standard for connecting AI assistants with real-world tools. Imagine giving Claude, VSCode, or any MCP-compatible client the power to interact with your APIs, databases, scripts, or cloud resources—securely and consistently.

In this guide, you’ll learn:

✨ What an MCP Server is


⚙️ How to build one


🔌 How MCP Clients connect


🧰 Deployment options (Cloudflare, Cloud Run, custom hosting)


💻 Example code + a public repository template

🧠 What Is an MCP Server?

An MCP Server is a backend service that exposes tools, resources, prompts, or custom logic to AI clients through a standardized protocol.

Think of it as:

🛠️ Your own plugin system for AI models.


If you can code it, an LLM can use it.

With an MCP Server, you can expose:

• 📡 API requests
  


• 🗂️ Database queries
  


• 💾 File operations
  


• 🔐 Secure internal tools
  


• 🧮 Business logic
  


• 🛠️ Any custom code/functionality
  

And any MCP Client can use it immediately:

• Claude Desktop
  


• Claude on Web (with model contexts)
  


• VSCode MCP Extension
  


• Cursor (partial)
  


• Custom terminals or agents
  

🔌 How MCP Servers Connect to Clients

MCP uses a clean JSON-based message protocol on top of common transports:

• 🔗 WebSockets
  


• 🧵 STDIO
  


• 🌐 HTTP Streaming
  


• ☁️ Cloudflare Workers Channels
  


• 🚀 Google Cloud Run HTTP endpoints
  

Clients send messages like:

• 
  initialize
  


• 
  list_tools
  


• 
  call_tool
  


• 
  read_resource
  

And the server responds with structured results.

This design makes MCP servers portable, cloud-ready, and language-agnostic 💡.

🛠️ Minimal MCP Server Example (TypeScript)

Below is a simple starter server that exposes one tool called hello_world:

import { Server, Tool } from "@modelcontextprotocol/sdk/server";



const server = new Server({

  name: "example-mcp-server",

  version: "1.0.0",

});



server.tool(

  new Tool("hello_world", {

    description: "Returns a greeting message.",

    inputSchema: {

      type: "object",

      properties: {

        name: { type: "string" },

      },

      required: ["name"],

    },

    async handler({ name }) {

      return { message: `Hello, ${name}!` };

    },

  })

);



server.listen();

This simple server:

✔️ Registers one tool

✔️ Accepts a name argument

✔️ Returns a message response

✔️ Works with any MCP client

🧩 Connecting Your MCP Server to Claude Desktop

{

  "servers": [

    {

      "name": "My MCP Server",

      "type": "websocket",

      "url": "wss://your-public-server.com"

    }

  ]

}

🧩 Connecting to VSCode (MCP Extension)

{

  "mcpServers": {

    "myServer": {

      "command": "node",

      "args": ["./dist/server.js"]

    }

  }

}

Your tools will show up in the MCP panel inside VSCode 📎.

☁️ Deployment Options

🌩️ 1. Cloudflare Workers

Perfect for serverless, instant deployments:

Steps:

1. Clone example project


2. Configure wrangler.toml


3. Run wrangler deploy


4. Fast, free-tier friendly, globally distributed.

🚀 2. Google Cloud Run

Google published a full tutorial + sample repo:

Cloud Run gives you:

• Auto-scaling


• Pay-per-request


• HTTPS by default

🧱 3. Custom Hosting

Run it anywhere:

• EC2


• Docker


• Kubernetes


• PM2 on a VPS


• Local dev machine

MCP only requires a transport channel (WebSocket or STDIO).

🎯 Why Build Your Own MCP Server?

💼 Enterprise automation

🛡️ Secure tool access

🔌 Standardized integrations

🧩 One tool layer usable across all AI apps

⚡ Faster development for agentic workflows

🌍 Cloud portability and vendor independence

If you're building AI-powered tools, MCP Servers are the future.

📦 Example Public Repository

Here is a clean, minimal, ready-to-use MCP Server starter repo:

👉 GitHub Example (Community Template):

This repository includes:

• TypeScript source code


• Example tools


• Transport implementation


• Scripts for running the server


• Instructions for connecting to Claude and VSCode

You can fork it and start adding your own tools immediately.

🎉 Final Thoughts

MCP is transforming how AI apps interact with the real world.

By building your own MCP Server, you unlock:

✨ Secure, structured, AI-driven automation

✨ Native integration with Claude & IDEs

✨ Cloud-ready extensibility

✨ A reusable tool layer for any AI agent

If you want, I can also:

🔧 Build a full boilerplate MCP server repo for you

📘 Write a step-by-step Cloudflare or Cloud Run deployment guide

🧩 Generate architecture diagrams

🎨 Create a cover image for your dev.to article

Just tell me!