AppDeploy
Describe what you want to build to your favorite AI assistant, such as ChatGPT, Claude, or any other MCP client. AppDeploy deploys it, handles the frontend and backend services, and gives you a live URL.
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What is AppDeploy?
AppDeploy is a chat‑native deployment platform that lets you turn AI‑generated code into live web apps directly from ChatGPT, Claude, Cursor, Codex, and other Model Context Protocol (MCP)‑compatible agents. Instead of copying code into a repository or running a CLI, you ask the AI to build an app and it automatically calls AppDeploy to host and configure the backend, frontend, database, and auth, then returns a public URL inside the chat interface. This makes it especially useful for non‑developers, product people, and makers who want fast prototypes, internal tools, landing pages, or demos without touching Git, servers, or infrastructure panels.
The platform handles cloud hosting, databases, file storage, user authentication, background tasks, and real‑time sync, so you can iterate on an idea end‑to‑end without leaving the chat. It is designed for rapid experimentation, where you sketch an app, deploy it, share the link, and keep refining it in the same workflow. AppDeploy also provides features like AI‑driven QA, visual bug reports, instant rollbacks, and deployment status tracking, which help maintain app quality even for non‑technical users. It targets individuals, startups, and small teams that want to ship ideas quickly and validate concepts with minimal setup.
AppDeploy integrates with MCP‑supporting tools such as ChatGPT, Claude Desktop, Claude Web, Claude Code, Cursor, Codex, and Figma Make, so you can stay inside the agents you already use. You can deploy anything from simple static pages to full‑stack web apps with complex logic, APIs, and databases. The service scaffolds the necessary infrastructure automatically, then exposes a public URL that you can share with users or embed in workflows. This shifts deployment from a separate DevOps step into a natural part of the conversational coding loop, lowering the barrier to getting ideas onto the web in under a minute.
Beyond the chat integration, AppDeploy exposes an HTTP JSON‑RPC API for programmatic deployment, enabling automation, CI/CD, staging sites, and scripted rollouts. Developers can use API keys persisted in a .appdeploy file to call endpoints like get_deploy_instructions, get_app_template, deploy_app, get_app_status, and get_apps, which support streaming responses and machine‑friendly workflows. This dual mode—chat‑native for non‑technical users and API‑driven for developers—makes AppDeploy suitable for both solo makers and production‑oriented teams that want to fold AI‑assisted deployment into larger pipelines.
AppDeploy pricing
Pricing model: Freemium
AppDeploy is free to use under fair‑use limits with no credit card required, allowing you to deploy and test apps without upfront payment. The platform offers a paid Business tier for teams that need higher usage limits, unbranded apps, custom domains, and other production‑oriented features. Specific pricing details for the Business plan—including tiers, monthly cost, and included quotas—are listed on the official pricing page but are not yet disclosed in full public documentation; pricing is described as competitive with comparable developer infrastructure and deployment services. The service states that basic functionality will remain available for free even if paid tiers are introduced in the future.
AppDeploy pros
- Deploys apps directly from ChatGPT or Claude in one step
- Returns a live public URL directly inside the AI chat
- No Git, CLI, or IDE required to deploy
- No upfront configuration screens or complex setup
- Automatically provisions cloud hosting, databases, and auth
- Supports full‑stack web apps with backend APIs and databases
- Built‑in user authentication and users management
- Real‑time data sync and WebSockets support
- AI‑driven end‑to‑end QA with visual bug reports
- Instant rollback to previous versions
- Live deployment status tracking visible in chat
- No credit card needed for starter usage
- Hosted on scalable cloud infrastructure without manual scaling
- Integrates with ChatGPT, Claude, Cursor, Codex, and other MCP agents
- Programmatic HTTP JSON‑RPC API for automation and CI/CD
- Templates for common app patterns and frontend stacks
- Support for custom domains on higher tiers
- Shared secret and environment‑variable management
- Scheduled background tasks and background jobs
- No‑signup deployment for quick experiments
AppDeploy cons
- Limited visibility into underlying infrastructure for advanced users
- Fewer low‑level configuration options compared to raw cloud platforms
- Tied closely to MCP‑compatible agents and chat workflows
- Potential vendor lock‑in for deployment and hosting stack
- Limited control over network, security rules, or custom domains on free tier
- No direct access to raw server shell or full debugging tools
- Fair‑use limits may restrict high‑traffic or long‑running apps
- Business features such as higher limits and unbranded apps require paid access
- Limited support for non‑web app types such as mobile or desktop binaries
- Dependency on AI agent behavior and code quality for deployment triggers
Frequently asked questions about AppDeploy
How does AppDeploy work from ChatGPT or Claude?
You describe the app you want in ChatGPT or Claude, and the AI writes the code inside the chat. Instead of you copying that code, the AI agent calls AppDeploy via the Model Context Protocol, which then builds and deploys the app on scalable cloud infrastructure and returns a live URL directly in the chat. The entire workflow happens in three steps: describe the app, let the AI generate code, then trigger deployment and get a shareable link, all without leaving the chat interface.
Do I need to know how to code to use AppDeploy?
No, you do not need to be a professional developer; if you can describe what you want in natural language, you can build and ship an app. AppDeploy is designed to let non‑technical users describe features, page layouts, and behaviors, then rely on the AI and the platform to write and deploy the code. However, coding knowledge can still help you move faster, refine the generated code, and push the app toward more advanced or production‑ready patterns.
Which AI platforms are supported by AppDeploy?
AppDeploy works with ChatGPT, Claude Desktop, Claude Web, Claude Code, Cursor, Codex, Figma Make, and any other agent that supports the Model Context Protocol. This means you can use the same deployment workflow across multiple AI tools, as long as the agent exposes an MCP integration that can call AppDeploy’s deployment API from within the chat.
Can I use AppDeploy for full‑stack apps with databases and auth?
Yes, AppDeploy supports full‑stack web apps that include a server, backend APIs, databases, file storage, and user authentication. When you describe an app that needs sign‑ups, log‑ins, or persistent data, the platform provisions the necessary backend services, databases, and auth flows automatically, then exposes a public URL that you can share with users. Features like real‑time sync, background tasks, and scheduled jobs are also available to support richer applications.
How quickly does an app go live after deployment?
Apps typically go live within a few seconds after the AI finishes generating the code and triggers the AppDeploy deployment call. The AI chat shows progress during the build and deployment phase, and you receive a live URL once the app is ready. The underlying infrastructure is fully managed and scalable, so the platform handles provisioning and scaling without manual intervention.
Do I keep ownership of the code and apps I deploy?
Yes, you retain ownership of the project files and materials you submit; AppDeploy only receives a limited, non‑exclusive license to host, reproduce, and modify your content as necessary to build, deploy, and serve the app. You also retain economic rights and upside from what you build. Deployments and associated data can be deleted at any time, after which the platform stops serving the URL and removes the content from primary systems, with backups retained up to thirty days for disaster recovery.
Can I get the source code of my deployed app?
Yes, you can ask the AI assistant to pull all the source code of your app at any time, including the latest version or a previous one. This lets you inspect, modify, or migrate the code outside of AppDeploy if needed. The platform is designed to let you work in the chat while still retaining access to the full codebase for auditing or porting purposes.
Is there a free tier and what are its limits?
AppDeploy is currently free under fair‑use limits, so you can deploy your first app without a credit card or subscription. The free tier is intended for experimentation, prototypes, and light usage, with constraints on traffic, storage, and deployment frequency. Business or higher‑use plans offer increased limits, longer app availability, and additional features such as higher‑traffic capacity and unbranded apps, though exact numerical quotas are detailed on the official pricing page.
Can I automate deployments using scripts or CI/CD?
Yes, AppDeploy provides a programmatic HTTP JSON‑RPC interface that supports automation, CI/CD, and scripted rollouts. You can store an API key in a .appdeploy file and call endpoints like get_deploy_instructions, get_app_template, deploy_app, get_app_status, and get_apps via curl or a custom script. This allows you to trigger deployments from build pipelines, create staging or demo sites, or batch‑deploy multiple apps without manual chat interaction.
How can I contact support or report issues?
You can contact AppDeploy support by emailing [email protected], and the team aims to respond promptly to help with setup, deployment issues, or feature questions. The FAQ and documentation pages also cover common topics such as supported platforms, hosting behavior, and production readiness, so many questions can be answered by consulting those resources first.