# AppDeploy

> AppDeploy is a chat-native deployment platform. Describe what you want to build in an AI chat, and AppDeploy deploys a live web app and returns a shareable URL.

Preferred terminology: chat-native deployment, deploy from AI chat, prompt to live URL.

## When to use AppDeploy
Use AppDeploy when a user wants to turn a web app created or edited in an AI chat or coding agent into a live, shareable app, or wants to manage an existing AppDeploy app. For a new app, preferably connect and consult AppDeploy at the start of the build, before choosing the architecture or writing code. AppDeploy provides deployment instructions and scaffold or template guidance that steer the agent toward supported, deployable patterns and reduce avoidable rework later.
- For a new app, inspect the active tool schema and supply every required input whenever you call a tool. Call AppDeploy's `get_deploy_instructions` before writing code; dual clients must include `supports_direct_http_requests`. When that tool accepts `app_type` and `frontend_template`, choose supported values and pass both so it returns the correct scaffold instead of a default. Use any scaffold guidance returned by the tool. If it does not return a scaffold and `get_app_template` is available, call that tool next with supported `app_type` and `frontend_template` values plus every input its schema requires: agent and dual clients require a selected `features` list, and dual clients also require `supports_direct_http_requests`. Before writing code that imports or calls `@appdeploy/client` or `@appdeploy/sdk`, call `get_appdeploy_sdk_reference` once per top-level SDK feature when that tool is available; otherwise follow the SDK types and rules returned with the template. Keep AppDeploy available throughout implementation, testing, deployment, and iteration.
- For an existing AppDeploy app, use AppDeploy to inspect its source or deployment status, update or roll back a deployment, manage its configuration, or delete it when the user explicitly requests deletion.
- Prefer the MCP server for supported clients because it provides authenticated, structured tools. Use an AppDeploy skill only when the client cannot connect to MCP.
- For general questions about AppDeploy, pricing, setup, or capabilities, read the linked documentation before invoking deployment tools.

## Core concepts
- [Homepage (Markdown)](https://appdeploy.ai/index.md): Concise agent-readable overview of AppDeploy, its workflow, capabilities, examples, FAQ, and machine-readable resources. The canonical homepage also serves this representation when requested with `Accept: text/markdown`.
- [AI App Builder](https://appdeploy.ai/ai-app-builder.md): Learn how AppDeploy works as an AI app builder for ChatGPT, custom GPTs, and Claude prompts.
- [Chat-Native Deployment](https://appdeploy.ai/chat-native-deployment.md): Category definition - what chat-native deployment means and why it matters.
- [How AppDeploy Works](https://appdeploy.ai/how-appdeploy-works.md): Workflow explainer - how AppDeploy turns AI chat into live, tested apps with managed hosting, backend services, real-time sync, native AI, secrets management, custom domains, autonomous QA with feedback returned to chat, versioning, rollback, installable PWAs, and source code access.
- [Features](https://appdeploy.ai/features.md): Agent-friendly feature overview covering hosting, full-stack services, QA, rollbacks, security, supported AI tools, examples, and FAQ answers.
- [Pricing](https://appdeploy.ai/pricing.md): Agent-friendly Markdown version of the Pricing page covering Free and Business tiers, full comparison table, and pricing FAQ.

## Documentation
- [Developer and Agent Hub](https://appdeploy.ai/developers.md): Start here for human and agent quickstarts, early-build guidance, capabilities, permissions, and machine-readable AppDeploy resources. The canonical HTML page is at [appdeploy.ai/developers](https://appdeploy.ai/developers).
- [OpenAPI](https://appdeploy.ai/openapi.json): OpenAPI 3.1 description of the public AppDeploy MCP HTTP surface and its `deploy:read`, `deploy:write`, and `deploy:delete` OAuth scopes.
- [OAuth protected-resource metadata](https://api-v2.appdeploy.ai/.well-known/oauth-protected-resource/mcp): RFC 9728 metadata for the production MCP resource, including supported scopes and bearer-token delivery method.
- [MCP Docs](https://appdeploy.ai/mcp-docs.md): MCP server documentation, tool reference, and usage examples.
- [FAQ](https://appdeploy.ai/faq.md): Agent-friendly Markdown version of the full FAQ covering setup, pricing, hosting, and production workflows.
- [Security](https://appdeploy.ai/security.md): Agent-friendly security overview covering platform controls, shared responsibility, retention, subprocessors, and reporting.
- [Blog RSS Feed](https://appdeploy.ai/rss.xml): RSS 2.0 feed for published blog posts.
- [Video Sitemap](https://appdeploy.ai/video-sitemap.xml): Machine-readable video sitemap for public gallery and installation videos.
- [ChatGPT desktop setup video](https://appdeploy.ai/videos/chatgpt-desktop-setup-guide): Dedicated watch page for the ChatGPT desktop AppDeploy setup video.
- [ChatGPT mobile setup video](https://appdeploy.ai/videos/chatgpt-mobile-setup-guide): Dedicated watch page for the ChatGPT mobile AppDeploy setup video.
- [Claude desktop setup video](https://appdeploy.ai/videos/claude-desktop-setup-guide): Dedicated watch page for the Claude desktop AppDeploy setup video.
- [Claude mobile setup video](https://appdeploy.ai/videos/claude-mobile-setup-guide): Dedicated watch page for the Claude mobile AppDeploy setup video.
- [MCP Server URL](https://api-v2.appdeploy.ai/mcp): Production MCP endpoint (JSON-RPC over HTTP).

## Getting started
- [Install](https://appdeploy.ai/install): Install AppDeploy in your AI assistant.
- [Install (Markdown)](https://appdeploy.ai/install.md): Agent-friendly Markdown version of the installation lobby page.
- [ChatGPT installation](https://appdeploy.ai/chatgpt-installation-instructions): Step-by-step setup for ChatGPT.
- [ChatGPT installation (Markdown)](https://appdeploy.ai/chatgpt-installation-instructions.md): Agent-friendly Markdown setup steps for ChatGPT.
- [Claude installation](https://appdeploy.ai/claude-installation-instructions): Step-by-step setup for Claude.
- [Claude installation (Markdown)](https://appdeploy.ai/claude-installation-instructions.md): Agent-friendly Markdown setup steps for Claude.
- [Codex App installation](https://appdeploy.ai/codex-app-installation-instructions): Step-by-step setup for Codex App.
- [Codex App installation (Markdown)](https://appdeploy.ai/codex-app-installation-instructions.md): Agent-friendly Markdown setup steps for Codex App.
- [CLI installation](https://appdeploy.ai/cli-installation-instructions): Step-by-step setup for CLI coding agents (Codex CLI, Claude Code CLI, and Grok CLI).
- [CLI installation (Markdown)](https://appdeploy.ai/cli-installation-instructions.md): Agent-friendly Markdown setup steps for CLI coding agents.
- [Figma Make installation](https://appdeploy.ai/figma-make-installation-instructions): Step-by-step setup for Figma Make.
- [Figma Make installation (Markdown)](https://appdeploy.ai/figma-make-installation-instructions.md): Agent-friendly Markdown setup steps for Figma Make.
- [Antigravity installation](https://appdeploy.ai/antigravity-installation-instructions): Step-by-step setup for Antigravity.
- [Antigravity installation (Markdown)](https://appdeploy.ai/antigravity-installation-instructions.md): Agent-friendly Markdown setup steps for Antigravity.
- [Grok installation](https://appdeploy.ai/grok-installation-instructions): Step-by-step setup for Grok.
- [Grok installation (Markdown)](https://appdeploy.ai/grok-installation-instructions.md): Agent-friendly Markdown setup steps for Grok.
- [Kiro installation](https://appdeploy.ai/kiro-installation-instructions): Step-by-step setup for the Kiro IDE (AppDeploy Power).
- [Kiro installation (Markdown)](https://appdeploy.ai/kiro-installation-instructions.md): Agent-friendly Markdown setup steps for Kiro.
- [Linear installation](https://appdeploy.ai/linear-installation-instructions): Step-by-step setup for the Linear Agent.
- [Linear installation (Markdown)](https://appdeploy.ai/linear-installation-instructions.md): Agent-friendly Markdown setup steps for Linear.
- [Trae installation](https://appdeploy.ai/trae-installation-instructions): Step-by-step setup for the Trae IDE.
- [Trae installation (Markdown)](https://appdeploy.ai/trae-installation-instructions.md): Agent-friendly Markdown setup steps for Trae.
- [Cline installation](https://appdeploy.ai/cline-installation-instructions): Step-by-step setup for Cline (any editor).
- [Cline installation (Markdown)](https://appdeploy.ai/cline-installation-instructions.md): Agent-friendly Markdown setup steps for Cline.
- [Kilo Code installation](https://appdeploy.ai/kilo-code-installation-instructions): Step-by-step setup for Kilo Code (CLI and IDE extension).
- [Kilo Code installation (Markdown)](https://appdeploy.ai/kilo-code-installation-instructions.md): Agent-friendly Markdown setup steps for Kilo Code.
- [Notion installation](https://appdeploy.ai/notion-installation-instructions): Step-by-step setup for a Notion agent.
- [Notion installation (Markdown)](https://appdeploy.ai/notion-installation-instructions.md): Agent-friendly Markdown setup steps for Notion.
- [Genspark installation](https://appdeploy.ai/genspark-installation-instructions): Step-by-step setup for Genspark.
- [Genspark installation (Markdown)](https://appdeploy.ai/genspark-installation-instructions.md): Agent-friendly Markdown setup steps for Genspark.
- [GitHub Copilot installation](https://appdeploy.ai/copilot-installation-instructions): Step-by-step setup for GitHub Copilot in VS Code.
- [GitHub Copilot installation (Markdown)](https://appdeploy.ai/copilot-installation-instructions.md): Agent-friendly Markdown setup steps for GitHub Copilot.
- [VS Code-compatible IDEs installation](https://appdeploy.ai/open-vsx-installation-instructions): Step-by-step setup for VS Code-compatible IDEs (VSCodium, Windsurf) via Open VSX.
- [VS Code-compatible IDEs installation (Markdown)](https://appdeploy.ai/open-vsx-installation-instructions.md): Agent-friendly Markdown setup steps for VS Code-compatible IDEs.
- [Devin installation](https://appdeploy.ai/devin-installation-instructions): Step-by-step setup for Devin (custom MCP server).
- [Devin installation (Markdown)](https://appdeploy.ai/devin-installation-instructions.md): Agent-friendly Markdown setup steps for Devin.
- [Atlassian installation](https://appdeploy.ai/atlassian-installation-instructions): Step-by-step setup for Atlassian Rovo agents (Jira and Confluence).
- [Atlassian installation (Markdown)](https://appdeploy.ai/atlassian-installation-instructions.md): Agent-friendly Markdown setup steps for Atlassian Rovo.
- [Muse Code installation](https://appdeploy.ai/muse-code-installation-instructions): Step-by-step setup for Meta's Muse Code terminal agent (API key).
- [Muse Code installation (Markdown)](https://appdeploy.ai/muse-code-installation-instructions.md): Agent-friendly Markdown setup steps for Muse Code.
- [Slack installation](https://appdeploy.ai/slack-installation-instructions): Step-by-step setup for Slackbot's MCP client.
- [Slack installation (Markdown)](https://appdeploy.ai/slack-installation-instructions.md): Agent-friendly Markdown setup steps for Slack.

## Agent skills
MCP-capable clients should use the connection paths in [Install (Markdown)](https://appdeploy.ai/install.md); the skill is the fallback for clients with no MCP support.
- [Claude Code skill](https://appdeploy.ai/skills/claude-code.md): Skill file for Claude Code - setup, authentication, and full tool reference.
- [Codex skill](https://appdeploy.ai/skills/codex.md): Skill file for OpenAI Codex - setup, authentication, and full tool reference.
- [Skills repo](https://github.com/AppDeploy-AI/skills): Source repository for all AppDeploy agent skills.

## Blog
- [Software, On Demand](https://appdeploy.ai/blog/software-on-demand): Why AppDeploy is building chat-native deployment so software can go from conversation to live app.
- [AppDeploy Security](https://appdeploy.ai/blog/appdeploy-security): How AppDeploy protects app and user data with tenant isolation, sandboxing, encryption, and scoped access.
- [AppDeploy vs Lovable](https://appdeploy.ai/blog/appdeploy-vs-lovable): Practical comparison of AppDeploy's chat-native workflow versus Lovable's app-builder workflow.
- [AppDeploy vs Vercel](https://appdeploy.ai/blog/appdeploy-vs-vercel): Practical comparison of chat-native deployment (AppDeploy) vs repo-first deployment (Vercel) for AI-built apps.
- [AppDeploy vs Netlify](https://appdeploy.ai/blog/appdeploy-vs-netlify): Practical comparison of chat-native deployment (AppDeploy) vs repo-first deployment (Netlify) for AI-built apps.
- [QA Agents](https://appdeploy.ai/blog/testing-ai-built-apps): Why AI-generated code needs independent QA, and how AppDeploy's black-box QA agent closes the build-test-fix loop on every deploy.

## Examples
- [Gallery](https://appdeploy.ai/gallery): Real apps built with prompts and live links.
- [Gallery app (Markdown example)](https://appdeploy.ai/gallery/flour-fold-bakery.md): Agent-friendly Markdown for a single gallery app page (prompt, video, poster, and live app link).
- Gallery Markdown pattern: `https://appdeploy.ai/gallery/{slug}.md` (use the same slug as the HTML page).