mcp-builder

Guide building MCP servers for LLM integration across Python FastMCP and Node TypeScript SDKs.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/nonputtipong/Oryn --skill mcp-builder-nonputtipong
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/nonputtipong/Oryn/tree/main/.agent/skills/mcp-builder
Command: npx skills add https://github.com/nonputtipong/Oryn --skill mcp-builder-nonputtipong

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide to developing robust MCP (Model Context Protocol) servers, enabling Large Language Models (LLMs) to reliably interact with external services through well-defined tools.

Core Features & Use Cases

  • MCP Server Development: Learn best practices for creating MCP servers in Python (FastMCP) or Node/TypeScript (MCP SDK).
  • Tool Design: Understand how to design effective tools with clear descriptions, input/output schemas, and annotations.
  • Evaluation Framework: Implement rigorous evaluations to test LLM interaction with your MCP server.
  • Use Case: You are building a new service and need to expose its API to an LLM agent. This Skill guides you through creating a compliant and effective MCP server for that service.

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?

Build an MCP server for LLM integration by following this guide to implement tools in Python via FastMCP or Node/TypeScript via the MCP SDK, covering research, implementation, and evaluation phases.

What is MCP tool design and why does it matter for API development?

MCP tool design involves creating effective tools with clear descriptions, input/output schemas, and annotations. It matters because it enables LLMs to reliably interact with external services through well-defined APIs.

Does this MCP builder guide support both Python and TypeScript SDK?

Yes, this MCP builder guide supports both Python using the FastMCP framework and Node/TypeScript using the MCP SDK for server implementation, testing, and evaluation.

What's the best way to evaluate LLM interaction with an MCP server?

The best way to evaluate LLM interaction with an MCP server is to implement the rigorous evaluation framework provided, which tests tool design and API integration against MCP specifications.

How do I expose my service API to an LLM agent using Model Context Protocol?

Expose your service API to an LLM agent by using this guide to create a compliant MCP server, designing tools with clear schemas and annotations that allow the model to interact with your external service.