mcp-builder

Build MCP servers in Python and TypeScript with validation and testing.

56|3|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/lee-to/ai-workspace --skill mcp-builder-lee-to
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/lee-to/ai-workspace/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/lee-to/ai-workspace --skill mcp-builder-lee-to

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Building MCP servers that let LLMs securely and efficiently access external services requires carefully designed tooling, patterns, and best practices to reduce risk and speed up delivery.

Core Features & Use Cases

  • Framework-agnostic guidance for both Python (FastMCP) and Node/TypeScript (MCP SDK) MCP servers.
  • Best practices for tool registration, input validation, error handling, testing, and security.
  • Real-world use cases include API integrations, data pipelines, and automated workflows for AI agents.

Quick Start

Install the required tooling and run the provided example MCP server to begin exploring tool registration.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I build a robust MCP server with Python or TypeScript?

Build robust MCP servers using Python (FastMCP) or Node/TypeScript (MCP SDK) by applying best practices for tool registration, runtime validation, error handling, and security to ensure production-grade quality.

What is the best way to handle input validation for MCP servers?

The best way to handle MCP server input validation is using runtime schema validation with Zod for Node/TypeScript and Pydantic for Python implementations to ensure structured data integrity.

Does this MCP server guidance support both Python and Node TypeScript?

Yes, this MCP server guidance supports both Python (FastMCP) and Node/TypeScript (MCP SDK) implementations, providing framework-agnostic patterns for tooling, testing, and security across both environments.

How do I register tools in an MCP server for AI agents?

Register tools in an MCP server by following structured schema best practices that let LLMs securely interact with external services like API integrations, data pipelines, and automated workflows.

What security and testing practices should I follow for MCP servers?

Follow MCP server security and testing best practices by implementing runtime validation, structured schemas, and proper project layouts to reduce risk and ensure production-grade quality for AI agent workflows.