MCP Server Builder

Overview

Create Model Context Protocol (MCP) servers that expose tools, resources, and prompts to AI agents like Claude, Cursor, and other MCP-compatible clients. This skill scaffolds complete MCP server projects with proper typing, error handling, input validation, and deployment configuration.

Instructions

When a user asks to build an MCP server, follow these steps:

Step 1: Define the server's purpose and capabilities

Determine what the MCP server will expose:

• Tools — Functions the AI can call (e.g., query a database, call an API, run a search)
• Resources — Data the AI can read (e.g., file contents, database records, config)
• Prompts — Reusable prompt templates with parameters

Ask: What service or data source should the AI agent connect to?