mcp-server-patterns

Build MCP servers with Zod-validated tools, resources, and prompts.

2|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/gajjalaashok75-UI/GakrCLI --skill mcp-server-patterns-gajjalaashok75-ui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-server-patterns
Source: https://github.com/gajjalaashok75-UI/GakrCLI/tree/main/assets/skills/mcp-builder/mcp-server-patterns
Command: npx skills add https://github.com/gajjalaashok75-UI/GakrCLI --skill mcp-server-patterns-gajjalaashok75-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design and implement Model Context Protocol servers without getting stuck on shifting SDK details, so you can expose tools, resources, and prompts to AI clients reliably.

Core Features & Use Cases

  • MCP Server Architecture: Set up servers with a clear separation between transport and business logic.
  • Tools, Resources, and Prompts: Register callable tools, readable resources, and reusable prompt templates for AI clients.
  • Transport Guidance: Choose between stdio for local clients and Streamable HTTP for remote clients.
  • Validation and Reliability: Use schema-first patterns and Zod validation to keep server interfaces predictable.

Quick Start

Use this skill to design an MCP server that exposes validated tools and resources for a local or remote AI client.

Frequently Asked Questions about mcp-server-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an MCP server in Node.js with TypeScript that exposes tools to AI clients?

You build an MCP server by separating transport from business logic and registering callable tools, readable resources, and reusable prompt templates for AI clients. This approach uses schema-first interfaces for predictable server behavior.

What is the difference between stdio and Streamable HTTP transport for Model Context Protocol servers?

For Model Context Protocol servers, stdio transport is chosen for local clients, while Streamable HTTP is used for remote clients. Selecting the right transport ensures reliable communication between the server and AI clients.

How do I validate tool inputs when creating a Model Context Protocol server?

To validate tool inputs when creating a Model Context Protocol server, use schema-first patterns and Zod validation. This keeps server interfaces predictable and ensures reliable behavior when AI clients call registered tools.

Can I use this approach to expose both resources and prompt templates to AI clients?

Yes, you can expose resources and prompt templates to AI clients. The architecture supports registering readable resources and reusable prompt templates alongside callable tools within the same Model Context Protocol server implementation.

What is the best way to structure a Model Context Protocol server to avoid SDK issues?

The best way to structure a Model Context Protocol server and avoid shifting SDK issues is to apply SDK-aware registration patterns aligned with current MCP documentation, cleanly separating transport from core business logic.