mcp-builder

Build scalable MCP servers for LLM access to external APIs.

1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/EzioPeter/codex_skills --skill mcp-builder-eziopeter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/EzioPeter/codex_skills/tree/main/mcp-builder
Command: npx skills add https://github.com/EzioPeter/codex_skills --skill mcp-builder-eziopeter

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

MCP Server Development Guide provides a blueprint for building robust MCP servers that let LLMs interact with external services through well-designed tools, resources, and prompts.

Core Features & Use Cases

  • Clear tool design and registration patterns using the MCP SDKs for TypeScript and Python
  • Support for multiple transports (stdio and streamable HTTP) to fit local and remote deployments
  • Strong input validation with Zod/Pydantic, error handling, and structured outputs
  • Resource registration, prompts, and evaluation/testing workflows to ensure reliability
  • End-to-end guidance across Phase 1 planning through Phase 4 evaluations

Quick Start

Create a minimal MCP server skeleton and register a sample tool to verify end-to-end tool invocation.

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 let LLMs call external APIs?

You build an MCP server by using the TypeScript or Python SDKs to define tools, resources, and prompts, enabling LLMs to call external APIs through validated inputs and structured outputs.

What transports can I use for deploying an MCP server?

MCP servers support stdio and streamable HTTP transports, allowing you to flexibly deploy your tools and resources for both local execution and remote service environments.

Does this MCP development guide support both Python and TypeScript?

Yes, this MCP development guide supports both Python and TypeScript implementations, providing clear tool design and registration patterns alongside input validation using Zod or Pydantic for reliable server creation.

What is the best way to validate inputs and handle errors in MCP tools?

The best way to validate inputs and handle errors in MCP tools is to enforce strong validation using Zod or Pydantic, coupled with actionable error handling and structured outputs to ensure reliable API interactions.

How do I test and evaluate an MCP server before deployment?

You test and evaluate an MCP server by following the end-to-end guidance from planning through Phase 4 evaluations, utilizing built-in testing workflows to verify tool registration and invocation reliability.