How to Build an MCP Server in 5 Minutes

CodeAgento Team2026-05-176 min read

The Model Context Protocol (MCP) is an emerging standard for connecting AI models to external tools and data sources. CodeAgento's MCP Server Builder lets you scaffold a complete server in minutes.

What is MCP?

MCP defines a standard way for AI applications to:

**Discover** available tools and resources

**Call** tools with typed parameters

**Read** resources like files, databases, or APIs

Think of it as a USB-C for AI: one standard connector that works everywhere.

Building Your Server

1. Open the MCP Server Builder

Navigate to AI Tools > MCP Server Builder in the sidebar.

2. Define Your Server

Give your server a name and description. This helps AI clients understand what your server provides.

3. Add Tools

Click "Add Tool" and define each tool:

**Name**: e.g., `search_docs`

**Description**: What the tool does (the AI reads this)

**Parameters**: Add typed parameters with descriptions

4. Add Resources

Resources are data your server exposes:

**Name**: e.g., `project_readme`

**URI**: The resource identifier

**Description**: What data this provides

5. Generate

Click "Generate Server" and get a complete TypeScript project with:

`package.json` with MCP SDK dependency

`src/index.ts` with server setup, tool handlers, and resource handlers

Proper error handling and type safety

Ready to run with `npm start`

Deploying

The generated server runs as a stdio process. AI clients like Claude Desktop can connect to it by adding it to their MCP configuration.

Build your MCP server now.