mcp-builder Agent Skills - Data & Analytics

🎯 What is mcp-builder?

A detailed development guide for creating high-quality MCP (Model Context Protocol) servers that empower large language models (LLMs) to interact seamlessly with external APIs and services. It ensures LLMs perform real-world tasks efficiently using structured tools designed for contextual AI interactions.

⚡ Key Features

• Deep agent-centric design principles focusing on workflows, concise communication, and actionable errors
• Language-specific implementation guides for Python (FastMCP) and Node/TypeScript
• Robust input/output validation with Pydantic/Zod schemas
• Comprehensive API integration strategies including pagination, error handling, and authentication
• Quality assurance processes including code review, testing, and evaluation creation

🛠️ Tech Stack

Supports implementation using Python (FastMCP SDK, Pydantic) and Node/TypeScript (MCP SDK, Zod), leveraging async/await and modern development best practices.

📋 Installation

Follow the structured phases: plan comprehensively, implement with SDKs per language, review and test thoroughly, then create evaluative tests. Use linked documentation for SDKs, best practices, and evaluation templates.

⚠️ Important Notes

The guide emphasizes thoughtful tool design beyond simple API wrapping, focusing on enabling complete workflows within context limits. Testing requires running the server in environments like tmux or using evaluation harnesses due to its long-running nature.

❓ Common Issues

Issues often involve improper error handling, context overflow in responses, insufficient input validation, or missing evaluation procedures. Following the guide’s checklists and best practice documentation helps mitigate these risks.