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How to Create an MCP Server: A Practical Guide for Web Developers
The Model Context Protocol (MCP) is an open standard developed by Anthropic that defines how AI models communicate with external tools, data sources, and services. Creating an MCP server means building a backend service that exposes capabilities — functions, resources, or data — that an AI client can discover and call in a structured way. Whether you're connecting an AI assistant to a database, a file system, or a third-party API, an MCP server is how you wire that bridge.
What Is an MCP Server, Actually?
An MCP server is a lightweight service that speaks the Model Context Protocol — a JSON-RPC-based communication layer. It listens for requests from an MCP client (typically an AI host application like Claude Desktop, or a custom agent framework), then responds with tools, resources, or prompt templates that the AI can use.
Think of it like a plugin backend. The AI asks "what can you do?" and your server responds with a structured list of capabilities. When the AI decides to use one, it sends a request and your server executes the logic and returns results.
MCP servers can run:
- Locally via standard I/O (stdio), where the client spawns the server as a subprocess
- Remotely via HTTP with Server-Sent Events (SSE), suitable for networked or cloud deployments
Core Concepts Before You Start Building
Understanding these terms will save significant debugging time:
| Concept | What It Means |
|---|---|
| Tool | A callable function the AI can invoke (e.g., query a database, send an email) |
| Resource | A readable data source (e.g., a file, a URL, a config value) |
| Prompt | A reusable prompt template the server exposes to the client |
| Transport | The communication channel — stdio or HTTP/SSE |
| Schema | JSON Schema definitions that describe tool inputs so the AI knows how to call them |
Step-by-Step: Creating an MCP Server in Node.js
The official MCP SDK (available for TypeScript/Node.js and Python) handles the protocol layer so you don't have to implement JSON-RPC from scratch.