Developing Custom MCP Servers

Learn how to develop and deploy your own custom MCP servers for specialized functionality

Overview

The Model Context Protocol (MCP) allows you to create custom servers that extend AI capabilities with specialized tools and resources. This guide covers server development from setup to deployment.

Custom Tools

Create specialized functions that AI can call

Resources & Prompts

Provide data and context to enhance AI interactions

Prerequisites
  • Basic knowledge of TypeScript or Python
  • Node.js 18+ or Python 3.8+ installed
  • Understanding of MCP concepts
Step 1: Set Up Development Environment
Setup
Install the MCP SDK and create your project structure

Install MCP SDK

Choose your preferred language and install the SDK:

# TypeScript/JavaScript
npm install @modelcontextprotocol/sdk

# Python
pip install mcp

Project Structure

Create a basic project structure:

my-mcp-server/
├── src/
│   ├── index.ts
│   └── tools.ts
├── package.json
└── tsconfig.json
Step 2: Implement Your Server
Development
Create the core functionality of your MCP server

Basic Server Implementation

Create a minimal MCP server with a custom tool:

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

const server = new Server({
  name: 'my-custom-server',
  version: '1.0.0',
});

// Define tools
server.setRequestHandler('tool/list', async () => ({
  tools: [{
    name: 'my_tool',
    description: 'My custom tool',
    inputSchema: {
      type: 'object',
      properties: {
        input: { type: 'string' }
      }
    }
  }]
}));

// Start server
const transport = new StdioServerTransport();
await server.connect(transport);
Step 3: Test Your Server
Testing
Validate your server works correctly before deployment

MCP Inspector

Use the MCP Inspector to test your server:

npx @modelcontextprotocol/inspector node ./dist/index.js

Test with Plugged.in

Add your server to Plugged.in as a local STDIO server for real-world testing.

Step 4: Deploy and Share
Deployment
Package and share your server with others

Package Configuration

Configure your package.json for distribution:

{
  "name": "my-mcp-server",
  "bin": {
    "my-mcp-server": "./dist/index.js"
  }
}

Share on Plugged.in

Create a server configuration on Plugged.in and share it with the community.

Publish to Registry

Consider publishing to npm or PyPI for wider distribution.

Next Steps
  • Explore advanced MCP features like resources and prompts
  • Share your server with the Plugged.in community
  • Review security best practices for production servers