mcp-builder

Build MCP servers for LLM interaction with external services.

Updated Sep 26, 2025
One-click install
npx skills add https://github.com/zsutxz/AICodingWithBMad --skill mcp-builder-zsutxz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/zsutxz/AICodingWithBMad/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/zsutxz/AICodingWithBMad --skill mcp-builder-zsutxz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, axios, zod, httpx, pydantic, anthropic, mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Developing high-quality Model Context Protocol (MCP) servers that enable LLMs to interact effectively with external services is complex, requiring deep understanding of agent-centric design, protocol specifications, and robust implementation. This Skill guides you through the entire process, from planning to evaluation.

Core Features & Use Cases

  • Agent-Centric Tool Design: Learn to build tools optimized for LLM workflows, focusing on actionable error messages, efficient context usage, and natural task subdivisions.
  • Comprehensive Implementation Guidance: Follow detailed steps for Python (FastMCP) or Node/TypeScript (MCP SDK) server development, including project structure, input validation (Pydantic/Zod), and robust error handling.
  • Evaluation-Driven Development: Create robust evaluation scenarios to test your MCP server's effectiveness, ensuring LLMs can answer complex, realistic questions using your tools.
  • Use Case: Integrate your company's internal CRM system with an LLM, allowing it to automatically retrieve customer data, create new leads, or update sales records through a set of well-designed MCP tools.

Quick Start

I need to build an MCP server for the 'GitHub API'. Outline a comprehensive implementation plan, including tool selection and input/output design.

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 that lets LLMs interact with external APIs?

Build an MCP server using FastMCP (Python) or the MCP SDK (Node/TypeScript) to create tools that expose external service APIs to LLMs. Define tool schemas with Pydantic or Zod validation, implement error handling, and structure responses as JSON or Markdown to enable LLMs to call your services directly.

What's the best way to design tools for LLM agents?

Design tools with agent-centric principles: provide actionable error messages, minimize token usage, subdivide complex tasks naturally, and use clear input/output schemas. Validate inputs with Pydantic (Python) or Zod (TypeScript) and return structured, truncated responses that guide the LLM toward effective decision-making.

Can I integrate my company's CRM or internal service into an LLM?

Yes. Build an MCP server that wraps your service's API, define tools for common operations (retrieve records, create leads, update data), and connect it to Claude or another LLM. The MCP protocol handles communication, letting the LLM call your tools as if they were native functions.

Do I need both Python and TypeScript to build MCP servers?

No. Choose one: FastMCP for Python or the MCP SDK for Node/TypeScript. Both support the same protocol and capabilities—tool design, validation, error handling, and pagination. Pick based on your existing stack and dependencies.

How do I test whether my MCP server works well with LLMs?

Create evaluation scenarios with realistic, multi-step questions that require your tools to solve. Test whether the LLM can retrieve data, perform actions, and handle errors correctly. This drives development and surfaces design flaws before production use.

What should I consider for security and error handling in MCP tools?

Implement input validation with Pydantic or Zod, enforce character limits with truncation policies, handle external API failures gracefully with clear error messages, and consider authentication scoping. Design tools to fail safely and guide LLMs toward recovery.