mcp-builder

Create MCP servers for LLM access to external services via Python or TypeScript SDKs.

Updated Jul 8, 2024
One-click install
npx skills add https://github.com/alexismanuel/dotfiles --skill mcp-builder-alexismanuel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/alexismanuel/dotfiles/tree/main/.opencode/skill/mcp-builder
Command: npx skills add https://github.com/alexismanuel/dotfiles --skill mcp-builder-alexismanuel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and reference (resource) components.

What problem does it solve?

This Skill provides a comprehensive blueprint for building high-quality MCP servers that enable LLMs to securely and efficiently interact with external services. It guides planning, implementation, testing, and evaluation, reducing time to a robust MCP solution.

Core Features & Use Cases

  • Tool-driven workflows: Design modular tools to automate multi-step tasks across services (e.g., orchestrating an API flow with rate limiting and error handling).
  • SDK-guided best practices: Leverage Python or TypeScript SDK patterns to ensure reliable, scalable MCP servers.
  • Evaluation-driven quality: Create reproducible evaluations to measure accuracy and reliability of MCP server interactions.

Quick Start

Install and configure an MCP server scaffold using the included templates. Follow the Python or TypeScript guides to bootstrap a server in your language of choice, implement a few read-only tools to validate inputs and formats, and run the evaluation harness to verify behavior and refine.

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 enable LLM tool access?

Build an MCP server using Python FastMCP or TypeScript SDK to create modular tools that let LLMs securely interact with external services. The Skill guides planning, tool design, API integration, input validation, error handling, and pagination to deliver a production-ready server.

What's the best way to design tools for MCP servers?

Design tools with explicit metadata, schema-driven input validation, and clear naming conventions. MCP tool design enforces strict API contracts, flexible response formats, and truncation strategies to ensure LLMs reliably invoke external services without errors.

Can I use MCP servers to automate multi-step workflows?

Yes. MCP servers enable tool-driven workflows that orchestrate multi-step tasks across services with rate limiting and error handling. Chain multiple tools with pagination and transport options to automate complex automations end-to-end.

How do I validate inputs and handle errors in an MCP server?

Implement schema-driven input validation and comprehensive error handling at the tool level. MCP best practices enforce strict type checking, meaningful error messages, and graceful degradation to prevent LLM tool misuse and service failures.

Should I use Python FastMCP or TypeScript for my MCP server?

Both SDKs follow the same MCP best practices; choose based on your ecosystem. Python FastMCP and TypeScript implementations offer identical tool design patterns, validation enforcement, and evaluation harnesses for measuring server reliability and accuracy.