mcp-builder

Design end-to-end MCP servers exposing external APIs to LLMs.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/lucasgaldinos/my-skills --skill mcp-builder-lucasgaldinos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/lucasgaldinos/my-skills/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/lucasgaldinos/my-skills --skill mcp-builder-lucasgaldinos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MCP builder helps developers design and implement MCP servers that enable LLMs to securely and efficiently interact with external services.

Core Features & Use Cases

  • Lifecycle-driven development: research, implement, test, and evaluate MCP servers.
  • Language-agnostic guidance: best practices for TypeScript and Python MCP servers.
  • Tool and transport guidance: how to design tools, schemas, and transports with robust error handling.
  • Evaluation readiness: references and templates for end-to-end evaluations.

Quick Start

Register a simple MCP tool using the TypeScript or Python SDK and run the server locally via stdio to validate a basic workflow.

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 expose external APIs to LLMs?

To build an MCP server, you design end-to-end tool schemas and transports that expose external APIs to LLMs. This involves research, implementation, testing, and evaluation using structured tool definitions and robust input validation.

Can I use Python and TypeScript SDKs for MCP tool development?

Yes, MCP tool development supports both Python and TypeScript SDKs. The guide provides language-agnostic best practices for implementing servers, designing tools, and handling errors across both environments.

What is the best way to structure MCP tool schemas and error handling?

The best way to structure MCP tool schemas is by enforcing structured tool definitions with robust input validation. Production-ready patterns should be applied across transports and tool schemas to ensure robust error handling.

How do I test and evaluate MCP servers locally?

You test and evaluate MCP servers by running them locally via stdio to validate basic workflows. The lifecycle-driven development approach includes references and templates for end-to-end evaluations.

Do I need specific dependencies to run an MCP server via stdio?

No specific external dependencies are required to run an MCP server. You can register a simple MCP tool using the TypeScript or Python SDK and run the server locally via stdio to validate workflows.