Creating Custom MCP Servers: A Step-by-Step Guide

# Creating Custom MCP Servers Learn how to create your own Model Context Protocol (MCP) servers to extend AI agent capabilities with custom tools and data sources. ## Project Setup ```bash mkdir my-mcp-server cd my-mcp-server npm init -y npm install @ainative/mcp ``` ## Basic Server Structure ```typescript import { MCPServer, Tool } from '@ainative/mcp'; class MyMCPServer extends MCPServer { constructor() { super({ name: 'my-custom-server', version: '1.0.0', description: 'Custom MCP server for my use case' }); this.registerTools(); } private registerTools() { // Register your tools here } } const server = new MyMCPServer(); server.start(3000); ``` ## Defining Tools ```typescript private registerTools() { this.tool({ name: 'fetch_weather', description: 'Get current weather for a location', parameters: { location: { type: 'string', description: 'City name or coordinates', required: true }, units: { type: 'string', enum: ['celsius', 'fahrenheit'], default: 'celsius' } }, handler: async ({ location, units }) => { const weather = await fetchWeatherAPI(location, units); return { temperature: weather.temp, conditions: weather.conditions, humidity: weather.humidity }; } }); } ``` ## Adding Data Sources ```typescript this.dataSource({ name: 'knowledge_base', description: 'Company knowledge base', query: async ({ search, filters }) => { const results = await searchKnowledgeBase(search, filters); return results.map(doc => ({ id: doc.id, content: doc.content, metadata: doc.metadata })); } }); ``` ## Authentication ```typescript this.use(async (req, res, next) => { const apiKey = req.headers['x-api-key']; if (!apiKey || !await validateApiKey(apiKey)) { return res.status(401).json({ error: 'Unauthorized' }); } next(); }); ``` ## Deployment Deploy to: - Docker containers - Railway - Vercel - Your own infrastructure Start building custom AI capabilities today!

Creating Custom MCP Servers: A Step-by-Step Guide

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