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mcp-builder

Generate TypeScript and Python MCP server projects with structured tooling and validation.

7.6k|721|Updated Mar 20, 2026
Search Tags:#typescript#testing#security#python#mcp#server-design#tools-resources-prompts
One-click install
npx skills add https://github.com/jnMetaCode/superpowers-zh --skill mcp-builder-jnmetacode
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/jnMetaCode/superpowers-zh/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/jnMetaCode/superpowers-zh --skill mcp-builder-jnmetacode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MCP servers enable AI assistants to orchestrate tools, resources, and prompts through a unified protocol, simplifying integration with external systems and workflows.

Core Features & Use Cases

  • Provides a clear protocol for Tools, Resources, and Prompts, enabling structured AI orchestration.
  • Offers TypeScript and Python project scaffolds with the recommended file layout and lifecycle patterns.
  • Includes guidelines for tool design, input validation, error handling, testing, security, and deployment to production environments.
  • Use Case: quickly spin up a production-ready MCP server that exposes a set of tools to an AI client and wires data sources via resources.

Quick Start

Create a new MCP server project following the TypeScript skeleton and register a sample tool in src/index.ts.

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 production-ready MCP server with TypeScript or Python?▼

Build a production-ready MCP server by applying the provided TypeScript or Python project scaffolds, which enforce structured naming, validation, error handling, and security requirements while exposing tools, resources, and prompts to AI assistants.

What is an MCP server and when do I need one for AI orchestration?▼

An MCP server is a protocol layer enabling AI assistants to orchestrate tools, resources, and prompts through a unified interface. You need one when integrating external systems and workflows into an AI client.

Can I use MCP server scaffolds to wire external data sources via resources?▼

Yes, you can wire external data sources via resources. The MCP server scaffolds provide a clear protocol for Tools, Resources, and Prompts, enabling structured AI orchestration and seamless integration with external systems.

What's the best way to structure tools, resources, and prompts in an MCP server?▼

The best way to structure tools, resources, and prompts is by following the recommended file layout and lifecycle patterns in the project skeleton, which enforces structured naming, input validation, and observability requirements for production environments.

Does the MCP server scaffold include testing and security guidelines for deployment?▼

Yes, the MCP server scaffold includes guidelines for tool design, input validation, error handling, testing, security, and deployment to production environments, ensuring observability and reproducibility across TypeScript and Python implementations.

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