mcp-builder

Build MCP servers with FastMCP or MCP SDK using Zod and Pydantic validation.

Updated Aug 20, 2022
One-click install
npx skills add https://github.com/Neroro64/dotfiles --skill mcp-builder-neroro64
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/Neroro64/dotfiles/tree/main/configs/omp/agent/skill_store/mcp-builder
Command: npx skills add https://github.com/Neroro64/dotfiles --skill mcp-builder-neroro64

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

MCP server development often requires coordinating transport, tool design, validation, and error handling to enable LLMs to interact with external services. This skill provides a proven blueprint for building production-ready MCP servers using either Python (FastMCP) or Node/TypeScript (MCP SDK).

Core Features & Use Cases

  • End-to-end MCP server blueprint for both Python (FastMCP) and TypeScript (MCP SDK) implementations.
  • Structured tooling and validation guidance using Pydantic and Zod, including input/output schemas, pagination, and error handling.
  • Reference-guided development lifecycle covering project scaffolding, core infrastructure, tool implementation, testing, and evaluations.
  • Use Case: Build an MCP server that orchestrates a weather API to expose weather-fetch tools to an LLM, with deterministic responses and safe error handling.

Quick Start

Create a new MCP server following this guide and start with stdio transport to begin registering and testing tools.

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-grade MCP server with Python or TypeScript?

To build a production-grade MCP server, you can use Python with FastMCP or TypeScript with the MCP SDK. This approach provides a structured blueprint for scaffolding, tool implementation, and rigorous testing.

What is the best way to design input validation and error handling for MCP tools?

The best way to design MCP tool validation and error handling is enforcing rigorous input schemas with Zod or Pydantic. This ensures structured outputs, safe API interactions, and deterministic responses for LLMs.

Can I use FastMCP and the MCP SDK to expose external APIs to LLMs?

Yes, you can use FastMCP and the MCP SDK to expose external APIs to LLMs. They enable you to orchestrate services like a weather API by registering well-designed tools for LLM interaction.

Does an MCP server blueprint support pagination and structured outputs?

An MCP server blueprint does support pagination and structured outputs. It applies best practices for tooling and validation to ensure safe, deterministic data retrieval and interactions.

What transport should I start with when developing an MCP server?

You should start with stdio transport when developing an MCP server. This allows you to begin registering and testing core tools before moving to more complex transport choices.

Why do I need Pydantic or Zod when creating MCP servers?

You need Pydantic or Zod when creating MCP servers to enforce rigorous input validation. This prevents malformed requests and ensures structured, safe outputs for external service interactions.