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mcp-builder

Guide MCP server development in Python FastMCP and Node TypeScript MCP SDK.

1|Updated Oct 19, 2025
Search Tags:#api development#mcp#tool design#llm integration#typescript sdk#fastmcp#server implementation
One-click install
npx skills add https://github.com/H2OSLabs/elfiee --skill mcp-builder-h2oslabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/H2OSLabs/elfiee/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/H2OSLabs/elfiee --skill mcp-builder-h2oslabs

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and best practices for developing robust Model Context Protocol (MCP) servers, enabling Large Language Models (LLMs) to interact seamlessly with external services and APIs.

Core Features & Use Cases

  • MCP Server Development: Learn to build MCP servers in Python (FastMCP) or Node/TypeScript (MCP SDK).
  • Tool Design & Implementation: Understand how to create effective tools with clear descriptions, input/output schemas, and annotations.
  • Evaluation Framework: Learn to create rigorous evaluations to test LLM interaction with your MCP server.
  • Use Case: You need to expose your company's internal CRM API to an LLM so it can answer customer-related queries. This Skill guides you through building the MCP server to make that happen.

Quick Start

Follow the guide to implement an MCP server for your service.

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 for LLM integration?▼

Building an MCP server for LLM integration involves using Python with FastMCP or Node/TypeScript with the MCP SDK to define tools with clear descriptions, input/output schemas, and proper annotations.

What is the best way to design tools for an MCP server?▼

The best way to design MCP server tools is to create effective tools with clear descriptions, structured input/output schemas, and specific annotations to ensure they are high-quality, discoverable, and functional for LLM agents.

Can I expose my internal CRM API to an LLM using Model Context Protocol?▼

Yes, you can expose an internal CRM API to an LLM by implementing a Model Context Protocol server that acts as the bridge, allowing the large language model to seamlessly interact with your external services.

Does MCP server implementation support both Python and Node TypeScript?▼

MCP server implementation supports both Python via the FastMCP framework and Node/TypeScript via the official MCP SDK, allowing you to choose your preferred tech stack for LLM integration.

How do I evaluate LLM interaction with my MCP server?▼

You evaluate LLM interaction with your MCP server by creating rigorous evaluations using the provided framework, which tests how effectively the language model discovers and uses your implemented tools.

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