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Build, deploy, manage hosted apps, and chat with each app’s persistent AI agent.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "VibeKit MCP" yet — see the docs or source repo.
Using VibeKit MCP, create a hosted web app for collecting user feedback, including form submission, a basic admin dashboard, and a public URL, then provide the deployment steps.
Returns the app creation and deployment result, including features, launch status, and a live URL.
Please use VibeKit MCP to inspect my production app status, update the OPENAI_API_KEY environment variable, restart the service, and confirm whether the latest live URL is working.
Provides the app status, configuration update result, restart outcome, and live URL availability confirmation.
Connect to this app’s persistent AI agent, read the current project context, and plan the next version with user login, usage history, and an admin review flow, then provide implementation recommendations.
Outputs context-aware feature planning, technical recommendations, and a next-step implementation plan.
Manage Vibe Kanban tasks, sessions, and queues inside AI coding workflows.
Enable multiple AI agents to automate a real Chrome browser privately.
Generate app icons with AI, resize assets, and publish apps to stores.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Build, debug, and manage software tasks with natural language across LLMs.