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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.
Connect Zustand state over WebSocket for AI inspection and live app control.
Share notes, API contracts, and handoff updates across projects with version tracking.
Build, test, and deploy production-ready MCP servers and AI-native apps.
Operate WhatsApp directly via MCP for messaging, groups, and contact automation.