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How to Build an MCP Server: A Developer's Guide to Model Context Protocol
Building an MCP server is one of the more practical skills emerging in AI-integrated web development right now. As AI assistants become embedded in developer workflows, Model Context Protocol (MCP) has become the standard way to give those assistants structured, reliable access to external tools, data sources, and services.
Here's what MCP actually is, how servers are structured, and what shapes the build process depending on your setup.
What Is an MCP Server?
Model Context Protocol is an open standard — originally developed by Anthropic — that defines how AI models communicate with external systems. Think of it as a universal adapter: instead of building custom integrations for every AI tool, you build one MCP-compliant server and any compatible client can connect to it.
An MCP server exposes capabilities to an AI client through a defined interface. Those capabilities generally fall into three categories:
- Tools — functions the AI can call (e.g., run a database query, send an API request)
- Resources — data the AI can read (e.g., files, records, documents)
- Prompts — reusable prompt templates the server makes available
The client (an AI assistant or agent) connects to the server, discovers what's available, and calls those capabilities as needed during a conversation or task.
Core Components of an MCP Server Build
1. Choose Your Runtime and SDK
MCP servers can be built in several languages. Official SDKs exist for:
- TypeScript/Node.js — the most mature and widely documented option
- Python — popular for data-heavy or ML-adjacent use cases
- Java and Kotlin — available for JVM environments
Most developers starting out choose TypeScript or Python because the SDKs are well-maintained and community examples are abundant.
2. Define Your Transport Layer
MCP supports two primary transport mechanisms:
| Transport | Best For |
|---|---|
| stdio | Local tools, CLI integrations, single-user setups |
| HTTP + SSE | Remote servers, multi-client setups, web-based deployments |
stdio transport is simpler to start with — your server runs as a subprocess and communicates through standard input/output. HTTP with Server-Sent Events (SSE) is the right choice when your server needs to be hosted remotely or serve multiple clients simultaneously.
3. Register Tools, Resources, and Prompts
This is the core of your server logic. Using the SDK, you declare what your server offers.
A basic tool registration in the TypeScript SDK looks conceptually like this: