Skybridge is a comprehensive, full-stack TypeScript framework meticulously designed for building interactive MCP (Model Context Protocol) Apps and ChatGPT Apps that render directly inside AI conversations. Created by Alpic, it solves the complex challenge of context asymmetry—the disconnect between a user, a model, and a UI—by providing a unified runtime and design pattern that allows developers to write once and deploy across multiple AI clients including Claude, ChatGPT, and VSCode.

The framework provides a highly opinionated, developer-friendly environment. It features a complete local emulator, hot module replacement (HMR), and secure public tunneling to facilitate rapid iteration. By abstracting the complexities of MCP server implementation, Skybridge enables developers to focus on building high-value, tool-augmented interfaces that seamlessly react to model outputs.

Some of the key features are:

• Full-Stack Type Safety: Leverages tRPC-style inference to ensure strict type synchronization between MCP server tool definitions and React views.
• Write Once, Run Everywhere: Abstracts platform-specific implementation differences, allowing code to function natively in various MCP clients.
• Delightful Developer Experience: Includes a local emulator, HMR, and an automatic app auditor to validate code against model guidelines.
• Agent-Ready Design: Provides a powerful CLI and programmatic developer tools designed to be used by coding agents for scaffolding and maintenance.
• React Integration: Utilizes intuitive hooks and advanced state management patterns that feel native to modern React development.
• Comprehensive Tooling: Offers built-in support for debugging, public URL tunneling for live testing, and performance monitoring.

Operationally, developers define their logic using the McpServer class, where they register tools with input schemas and corresponding React components. When the model invokes a tool, the framework automatically handles the rendering of the view. The local dev loop is initiated by running a single command, which sets up the server, local emulator, and optional public tunnel. This environment provides real-time feedback, allowing developers to see UI changes instantly without manual re-deployments.

Some common use cases include:

• Travel Booking: Building conversational interfaces that allow users to search global flight inventories and perform bookings directly within an AI chat.
• E-commerce Applications: Creating product carousels with integrated shopping carts, persistent state, and secure checkout flows inside LLM interfaces.
• Analytics Dashboards: Rendering rich, interactive visualizations and charts that summarize server performance or project metrics based on natural language queries.
• Gaming and Interactive Storytelling: Designing multi-screen experiences with dynamic gameplay that evolves based on user choices and model progression.
• Service Comparison: Developing specialized tools for users to compare electricity, gas, or luxury hotel offers in real-time based on their specific constraints.