What problem does it solve?
This Skill eliminates the guesswork and compatibility issues caused by frequent changes to the Model Context Protocol (MCP) SDK, making it easy to build and maintain functional MCP servers for AI assistant integration.
Core Features & Use Cases
- Full MCP Server Implementation: Build servers that expose tools, resources, and reusable prompts for AI assistants using the Node/TypeScript SDK.
- Transport Configuration: Select and implement the correct transport layer (stdio for local clients like Claude Desktop, Streamable HTTP for remote clients like Cursor) based on your deployment needs.
- Validation & Best Practices: Use Zod for input validation, follow idempotency and error handling guidelines, and navigate SDK version changes without breaking existing functionality. For example, use this Skill to build an MCP server that lets AI assistants search your internal product documentation by exposing a validated search tool and configuring Streamable HTTP for remote team access.
Quick Start
Use the mcp-server-patterns skill to build a new MCP server that exposes a validated search tool for your internal API with Streamable HTTP transport for remote AI assistant clients.