skills.rest
tuyenht
tuyenhtCOMMUNITY
Explore all skills by this author →
GitHub

mcp-builder

Guide construction of Model Context Protocol servers with architecture and transport types.

Updated Jan 31, 2026
Search Tags:#protocol#mcp#ai integration#server#resource management#tool design
One-click install
npx skills add https://github.com/tuyenht/Antigravity-Core --skill mcp-builder-tuyenht
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/tuyenht/Antigravity-Core/tree/main/.agent/skills/mcp-builder
Command: npx skills add https://github.com/tuyenht/Antigravity-Core --skill mcp-builder-tuyenht

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • MCP Server Architecture: Understand the project structure, transport types (Stdio, SSE, WebSocket), and core concepts of MCP.
  • Tool & Resource Design: Learn best practices for designing effective tools and defining resource patterns for AI interaction.
  • Use Case: A developer needs to set up a new service that allows an AI agent to interact with a database. This Skill guides them through defining the API endpoints, input/output schemas, and data access patterns.

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?▼

To build an MCP server, structure the project using the Model Context Protocol architecture, select a transport type (Stdio, SSE, or WebSocket), and define tool schemas for AI interaction. This standardizes external resource access.

What is the Model Context Protocol used for?▼

The Model Context Protocol (MCP) is used to facilitate seamless AI system integration with external resources and functions. It provides standardized architectural principles for server construction and data access.

What are the best practices for MCP tool design and resource URI patterns?▼

MCP tool design best practices require strict adherence to tool naming conventions, input validation, and standardized resource URI patterns. This ensures effective and reliable AI interaction with external data.

Which transport types are supported when constructing MCP servers?▼

MCP servers support Standard Input/Output (Stdio), Server-Sent Events (SSE), and WebSocket transport types. Choosing the right transport dictates how the AI system communicates with the server.

How do I define API endpoints and schemas for an AI agent to interact with a database?▼

Define API endpoints and input/output schemas by following MCP server architecture principles. This guides the creation of specific data access patterns and tool definitions for database queries.

Can I use MCP to expose external tools to an AI agent without custom integration code?▼

Yes, MCP enables seamless AI integration with external tools through standardized protocols. By constructing an MCP server, you define the tools and resources the agent can access natively.

Related Skills

Explore More Software Engineering Skills→
hungtrandigitalhungtrandigital

mcp-management

Orchestrate MCP tools, prompts, and resources across multiple servers via .mcp.json.

Community
Advanced
khapn-2933khapn-2933

tkm:manage-mcp

Manages MCP servers for tool discovery, execution, and resource access.

Community
Advanced
TeiNamTeiNam
12

mcp-server-patterns

Develop MCP servers using Node/TypeScript SDKs with stdio and HTTP transport.

Community
Intermediate
JochenYangJochenYang
21

mcp-builder

Scaffold MCP servers for AI agents with reusable tool schemas and templates.

Community
Advanced