mcp-builder

Create production-ready MCP servers with Python FastMCP or TypeScript MCP SDK.

120|56|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/unclecatvn/agent-skills --skill mcp-builder-unclecatvn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/unclecatvn/agent-skills/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/unclecatvn/agent-skills --skill mcp-builder-unclecatvn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Guides teams to design and implement production-grade MCP servers (Python FastMCP or Node/TypeScript MCP SDK) with validated inputs, structured outputs, and well-designed tooling, reducing integration risk and maintenance effort.

Core Features & Use Cases

  • Comprehensive guidance for multi-language MCP server development (Python and TypeScript) including server setup, tool registration, input validation, error handling, and testing.
  • Best practices for tool naming, annotations, and schema design using Pydantic (Python) or Zod (TypeScript) to ensure strong typing and safe operations.
  • Clear transport and architecture patterns (stdio, streamable HTTP) with pagination, resources, and observability considerations.
  • End-to-end workflows from planning to evaluation, including evaluation guidance and quality checks for production-readiness.

Quick Start

Scaffold a new MCP server and register core tools using the recommended Python or TypeScript patterns.

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 production-ready MCP server with Python or TypeScript?

To build a production-ready MCP server, you scaffold the project using FastMCP for Python or the MCP SDK for TypeScript. This enforces input validation, proper tool registration, structured error handling, and secure transport choices.

What's the best way to validate inputs when registering tools in an MCP server?

The best way to validate inputs when registering MCP tools is using Pydantic for Python or Zod for TypeScript. These frameworks enforce strong typing and safe operations through clear tool annotations and schema design.

Does this MCP server guidance support both stdio and streamable HTTP transports?

Yes, this MCP server guidance supports both stdio and streamable HTTP transports. It provides clear architecture patterns for implementing either transport method, including considerations for pagination, resources, and observability.

Can I use this to scaffold an MCP server and register core tools quickly?

Yes, you can use this to quickly scaffold a new MCP server and register core tools. It provides end-to-end workflows with recommended Python or TypeScript patterns for immediate setup and structured tool implementation.

Why do I need tool annotations and schema design for MCP server development?

You need tool annotations and schema design for MCP server development to ensure strong typing and safe operations. Proper schema design using Pydantic or Zod reduces integration risk and prevents invalid data processing.