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chatgpt-app-builder

Official mcp-use framework guide for building production-ready MCP servers, apps, and tools with standardized architecture, security patterns, and best practices.

Introduction

The mcp-use framework skill is the essential developer companion for building high-quality Model Context Protocol (MCP) servers and applications. Designed for engineers and AI architects, it provides a comprehensive navigation system to the mcp-use ecosystem, ensuring that developers follow established patterns for tools, resources, prompts, and UI widgets. This skill is mandatory for anyone creating new projects or modifying existing mcp-use infrastructures, helping to avoid common pitfalls in server development, security, and performance optimization.

  • Full-stack MCP development using TypeScript and Python, supporting seamless integration across Claude, ChatGPT, and other AI agents.

  • Standardized project scaffolding via create-mcp-use-app to ensure TypeScript config, dev environment, and inspector integration are set up correctly.

  • Advanced authentication support including OAuth 2.1, Better Auth, Auth0, WorkOS, Supabase, and custom OIDC providers with secure session management.

  • UI-driven MCP Apps capability, allowing developers to define React-based widgets that function consistently across different AI chat clients.

  • Unified aggregation through server proxy patterns, enabling the composition of multiple specialized MCP servers into a single, cohesive interface.

  • Production-ready observability and deployment patterns, including built-in support for Manufact MCP Cloud, Docker, and self-hosted environments.

  • Always verify your project structure by checking for mcp-use dependencies in package.json before initiating any scaffolding commands.

  • Utilize the official mcp-use inspector for real-time debugging, testing, and validation of tools, resources, and prompt templates.

  • Leverage the provided reference documentation for specific implementation logic, such as oauthProxy, context handlers, and response helpers (text, markdown, image).

  • Prioritize the use of type-safe schemas via Zod for all tool inputs to ensure reliability in LLM-to-tool communication.

  • Adhere to the provided architectural guidelines to maintain compatibility with future framework updates and security patches.

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TypeScript
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May 3, 2026, 04:36 PM
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