What is MCP? Model Context Protocol Explained for Web Developers

MCP (Model Context Protocol) lets AI agents call external tools. Think of it as an API that AI models use to access real-world data. Why It Matters Without MCP, AI models hallucinate data. With MCP, they query real sources. User: "Research the electric vehicles market" Without MCP: ChatGPT makes up numbers With MCP: Agent queries Wikipedia, Google News, GitHub, arXiv → returns verified data How It Works You build an MCP Server — a tool the AI can call The AI client (Claude, GPT, etc.) connects to your server When the user asks a question, the AI calls your tool Your tool returns structured data The AI uses that data in its response Simple MCP Server Example // claude_desktop_config.json { "mcpServers" : { "market-research" : { "command" : "npx" , "args" : [ "mcp-market-research-server" ] } } } The AI can now call generate_report(industry, geography) and get real data from 9 sources. What MCP Servers Can Do Search the web — query Google, Bing, or custom sources Access databases — read/w