mcp-builder

Design MCP servers with tool registration, input validation, and error handling.

7|3|Updated May 4, 2026
One-click install
npx skills add https://github.com/nopperabbo/codebuddy2api --skill mcp-builder-nopperabbo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/nopperabbo/codebuddy2api/tree/main/opencode-config/skills/mcp-builder
Command: npx skills add https://github.com/nopperabbo/codebuddy2api --skill mcp-builder-nopperabbo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MCP server development remains error-prone and time-consuming without a standardized blueprint. This Skill provides a comprehensive guide to design, implement, test, and evaluate MCP servers that enable LLMs to safely interact with external services using standardized tools and best practices.

Core Features & Use Cases

  • Unified patterns for server naming, tool registration, input validation with Zod/Pydantic, and error handling.
  • End-to-end workflows from Phase 1 (planning) through Phase 4 (evaluation) with concrete examples.
  • Use Cases: building MCP-powered copilots that fetch data from external APIs, orchestrate multiple services, and expose data via resources.

Quick Start

Scaffold an MCP server project using the MCP SDK, then register at least one tool and run the server locally for testing.

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 with proper tool registration and input validation?

To build an MCP server, you register tools with structured input validation schemas using Pydantic or Zod. This ensures LLMs safely interact with external services by enforcing strict validation and error handling patterns during tool registration.

What are the best practices for MCP server design and exposing external services to LLMs?

MCP server design best practices involve following a structured workflow from planning to evaluation, applying standardized server naming, tool definitions, and consistent error handling patterns to safely expose external services to LLMs.

Can I use Python FastMCP and TypeScript SDK to implement MCP servers?

Yes, you can implement MCP servers using both Python FastMCP and Node/TypeScript MCP SDK projects. Both frameworks support tool registration, input validation, and error handling patterns to expose external services to LLMs.

What's the best way to structure an MCP server project for copilots fetching external API data?

The best way to structure an MCP server project is following a phased workflow from planning through evaluation, applying unified patterns for server naming, tool registration, and input validation to orchestrate multiple external services for copilots.

How does input validation with Pydantic and Zod work when registering MCP server tools?

Input validation with Pydantic and Zod works by defining strict schemas for tool definitions during registration. This ensures that data exchanged between LLMs and external services via MCP servers is validated and safe from errors.

Why do MCP server tools need error handling patterns and annotations?

MCP server tools need error handling patterns and annotations to safely manage interactions between LLMs and external services. Proper error handling prevents unhandled failures during tool registration and execution across the server lifecycle.