mcp-builder

Design, implement, test, and evaluate MCP servers for LLM clients.

Updated Feb 27, 2026
One-click install
npx skills add https://github.com/haidonglethqb/CloudSchool --skill mcp-builder-haidonglethqb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/haidonglethqb/CloudSchool/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/haidonglethqb/CloudSchool --skill mcp-builder-haidonglethqb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, mcp, and includes scripts (resource) and reference (resource) components.

What problem does it solve?

Build end-to-end MCP servers that expose actionable tools to LLM clients, enabling seamless integration with external services while following best practices for reliability, security, and scalability.

Core Features & Use Cases

  • Phase-guided MCP server development lifecycle (planning, implementation, review, evaluation)
  • Supports Python FastMCP and Node/TypeScript MCP SDK workflows with validation, error handling, and tool registration patterns
  • Includes reference docs, sample evaluation harness, and coding standards for robust tool design and testing

Quick Start

Clone the repository, skim Phase 1–4 guidelines, and start implementing an MCP server using the provided Python or TypeScript templates.

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 to expose tools to LLM clients?

Building an MCP server involves a structured lifecycle of planning, implementation, review, and evaluation. This framework provides templates and best practices for both Python FastMCP and Node TypeScript SDKs to expose actionable tools to LLM clients.

Can I use TypeScript to implement an MCP server with validation and error handling?

Yes, you can implement an MCP server using the Node TypeScript SDK workflow. The framework provides patterns for tool registration, input validation, and error handling to ensure robust tool design and secure operation.

How do I evaluate and test MCP servers for real-world tool integration?

You evaluate MCP servers using the provided sample evaluation harness and scaffolds. This allows you to test modular design, verify secure operation, and validate tool responses against real-world integration scenarios throughout the development lifecycle.

Does this MCP framework support Python FastMCP workflows?

Yes, the framework fully supports Python FastMCP workflows. It includes coding standards, reference documentation, and templates specifically designed for implementing, validating, and documenting tools in Python.

What's the best way to structure an MCP server for scalability and security?

The best way to structure an MCP server is by following the included MCP Best Practices and reference guides. Emphasize modular design, implement secure operation protocols, and maintain thorough documentation across the entire development lifecycle.