Skybridge
Full-stack TypeScript framework for building MCP apps with React, running seamlessly across Claude, ChatGPT, VSCode, and any MCP client.
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Product Overview
What is Skybridge?
Skybridge is an open-source, full-stack TypeScript framework designed for building MCP Apps and ChatGPT Apps β interactive UI widgets that render inside AI conversations. It extends the official MCP SDK with React-powered components, end-to-end type safety, and a complete local development environment. Skybridge abstracts the differences between MCP clients so developers can write once and deploy everywhere, powering over 10% of MCP apps in Claude and ChatGPT with 100K monthly npm downloads.
Key Features
Write Once, Run Everywhere
Skybridge abstracts runtime differences across Claude, ChatGPT, VSCode, and any MCP-compatible client, so a single codebase works on all platforms without modification.
React-Powered UI Components
Build interactive widgets with familiar React patterns β intuitive react-query-style hooks and advanced state management make development approachable for any React developer.
End-to-End Type Safety
tRPC-style TypeScript inference flows from MCP server tool definitions all the way to the React view layer, eliminating runtime type mismatches.
Delightful Dev Environment
Ships with Hot Module Reload, a local emulator for Claude and ChatGPT surfaces, a public HTTPS tunnel for mobile testing, and an automated server audit tool.
Agent-Ready Tooling
Powerful Skills, CLI, and programmatic devtools APIs enable coding agents to scaffold, build, and deploy MCP apps end-to-end with minimal manual intervention.
Production-Ready Example Library
A curated set of real-world app templates covering e-commerce, travel, SaaS, and more lets teams ship faster by starting from working, deployable code.
Use Cases
- Conversational UI Development : Developers build rich, interactive widgets that render directly inside Claude or ChatGPT conversations, turning static AI responses into dynamic user interfaces.
- Multi-Client MCP App Deployment : Teams maintaining presence across multiple AI clients (Claude, ChatGPT, VSCode) use Skybridge to ship a single codebase instead of maintaining separate integrations.
- Rapid SaaS & Tool Prototyping : Product teams leverage the example library and HMR dev environment to prototype and validate MCP-powered tools quickly before production rollout.
- Agent-Driven App Building : Engineering teams integrate Skybridge's CLI and programmatic APIs into agentic coding workflows, enabling automated end-to-end app generation and deployment.
- Enterprise MCP Integration : Businesses embed MCP apps into internal AI assistants and workflows, using Skybridge's type-safe architecture to ensure reliability at scale.
FAQs
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