mcp-builder

Guide building MCP servers with Python FastMCP or TypeScript MCP SDK.

21|6|Updated Aug 26, 2025
One-click install
npx skills add https://github.com/hepai-lab/drsai --skill mcp-builder-hepai-lab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/hepai-lab/drsai/tree/main/agent_skills/anthropic_skills_collection/mcp-builder
Command: npx skills add https://github.com/hepai-lab/drsai --skill mcp-builder-hepai-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a complete blueprint for creating robust MCP (Model Context Protocol) servers using the MCP Python SDK (FastMCP) or the TypeScript SDK. It consolidates established patterns, reference implementations, and best practices to help teams design, implement, validate, and evaluate MCP-driven agents and tools at scale.

Core Features & Use Cases

  • Reusable scaffolds and patterns for MCP server creation across Python and TypeScript ecosystems.
  • Clear guidance on tool design, input validation, error handling, pagination, transport configuration, and resource management.
  • End-to-end development lifecycle guidance (planning, implementation, review, evaluation) to deliver production-grade MCP servers and toolsets.

Quick Start

Use the MCP builder to scaffold a new MCP server by following the builder guide and adapting it to your service using either Python or TypeScript SDKs.

Frequently Asked Questions about mcp-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a robust MCP server using Python or TypeScript?

To build a robust MCP server, use the Python FastMCP or TypeScript SDK to scaffold your service, adhering to established patterns for tool registration, input validation, and transport configuration across development and production environments.

What are the best practices for MCP tool registration and input validation?

MCP best practices for tool registration require structured tool outputs and strict input validation using Pydantic for Python or Zod for TypeScript, ensuring reliable data handling and comprehensive documentation for your tools.

Can I configure streamable HTTP and stdio transports for my MCP server?

Yes, you can configure both streamable HTTP and stdio transports for your MCP server, enabling flexible communication channels that support read-only evaluation, active development, and enterprise production deployment contexts.

What is the best way to handle errors and pagination in MCP tools?

Handling errors and pagination in MCP tools involves following structured design patterns from the MCP SDK, ensuring your tools return consistent structured outputs and manage large datasets effectively across scientific and enterprise applications.

Does this MCP builder guide support production deployment for enterprise contexts?

Yes, the MCP builder guide supports production deployment for enterprise contexts by providing end-to-end lifecycle guidance, from planning and implementation to review and evaluation of production-grade MCP servers and toolsets.