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Build type-safe MCP and ChatGPT apps with a full-stack TypeScript framework.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "skybridge" yet — see the docs or source repo.
Use Skybridge to create an MCP app scaffold with TypeScript and React, including basic routing, a tool registration example, and local development setup.
A runnable project scaffold with frontend/backend structure, sample tools, and development instructions.
Using Skybridge, design a ChatGPT app frontend with React for a task management interface and connect it to MCP tool invocation flows.
React UI code, component structure, and a sample implementation for interacting with MCP tools.
Explain how to deploy my MCP app built with Skybridge across different platforms, including example environment variables, build commands, and release steps.
A cross-platform deployment guide with key configuration notes, command examples, and a release checklist.
Share memory across chats, delegate tasks, and orchestrate parallel AI workflows.
Build a persistent semantic graph so AI can query complex codebases instantly.
Expose an OpenAI-compatible endpoint to access and orchestrate MCP tools.
Dynamically bridge and register MCP capabilities with two-way client communication.
Connect Zustand state over WebSocket for AI inspection and live app control.
Build MCP servers quickly to expose app data and actions to AI clients.