mcp-builder

Guide MCP server development covering architecture, tools, resources, and security.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/ntuan2502/piggy --skill mcp-builder-ntuan2502
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/ntuan2502/piggy/tree/main/.agent/skills/mcp-builder
Command: npx skills add https://github.com/ntuan2502/piggy --skill mcp-builder-ntuan2502

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides the foundational principles and architectural guidance for building robust and efficient Model Context Protocol (MCP) servers, enabling seamless AI integration with external tools and data.

Core Features & Use Cases

  • MCP Server Architecture: Understand project structure, transport types (Stdio, SSE, WebSocket).
  • Tool & Resource Design: Learn principles for creating clear, single-purpose tools and defining resource patterns (Static, Dynamic, Template).
  • Best Practices: Covers error handling, multimodal support, security, testing, and configuration.
  • Use Case: A developer needs to build a new AI-powered service that interacts with a database and external APIs. This Skill guides them on how to structure the service, define the API endpoints for the AI, and handle data securely.

Quick Start

Follow the MCP server architecture principles to build a new MCP server.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I build an MCP server for AI integration with external tools?

To build an MCP server, follow architectural principles defining standards for AI system integration, covering project structure, transport types like Stdio or WebSocket, and secure data handling.

What is the best way to design tools for a Model Context Protocol server?

Designing MCP server tools requires creating clear, single-purpose tools with validated inputs and structured outputs, adhering to principles that ensure reliable AI system integration and execution.

How does resource management work in MCP server architecture?

MCP server resource management involves defining specific patterns, including Static, Dynamic, and Template resources, to standardize how AI systems access and interact with external data sources securely.

Can I use SSE or WebSocket transports for my MCP server?

Yes, MCP server architecture supports multiple transport types including Stdio, Server-Sent Events (SSE), and WebSocket, allowing flexible communication channels between AI systems and external tools.

What security and error handling practices should I follow for MCP servers?

MCP server security and error handling best practices involve implementing secure data handling protocols, structured error responses, and comprehensive testing methodologies to ensure robust AI integration.

When do I need to configure multimodal support in an MCP server?

You need multimodal support in an MCP server when your AI integration requires processing diverse data formats beyond text, ensuring the external tools can handle varied input and output types securely.