Appdeploy

AppDeploy bridges the gap between AI-generated code and live production applications. While building apps with AI has become incredibly fast, getting them deployed remains a major bottleneck. AppDeploy eliminates this friction by handling the entire infrastructure setup automatically, allowing creators to stay focused on their product rather than technical deployment decisions.

The platform serves builders of all levels—from non-coders who can simply describe what they want, to experienced developers who want to iterate quickly without managing hosting providers, databases, or authentication systems. AppDeploy is designed for real production use, not just demos, with features like autonomous QA, version management, and instant rollbacks.

Target users include indie hackers, product teams, educators, and anyone who wants to transform AI conversations into shareable, live applications. Whether you're building a bakery pre-order system, a multiplayer game, or a group expense splitter, AppDeploy turns your chat-based ideas into deployed reality within minutes.

• Chat-Native Deployment: Deploy web apps directly from your AI assistant conversation without leaving the chat interface, receiving a live public URL in about a minute.

• Automatic Infrastructure Setup: AppDeploy automatically provisions managed cloud hosting, database and file storage, user authentication, background tasks, and real-time sync without any configuration required.

• Autonomous End-to-End QA: An AI-driven QA agent performs black-box testing on your deployed app, clicking through interfaces and verifying functionality like a real user would, then reports visual bugs directly to your chat.

• Version Management and Rollbacks: Track deployment history and instantly revert to any previous version of your application when issues arise.

• Secure Secrets Management: Automatically handles sensitive configuration and credentials securely as part of the deployment process.

• Multi-Platform Support: Works seamlessly with ChatGPT, Claude, Cursor, Codex, and other MCP-compatible tools through simple one-time installation.

• Source Code Inspection: Browse, search, and read your deployed codebase directly through tools like src_glob, src_grep, and src_read for debugging and iteration.

• Test-Driven Development Workflow: Enforces TDD practices by instructing AI coding agents to define expected behavior and write tests before implementation, improving code quality.

• Step 1: Install AppDeploy: Add AppDeploy to your preferred AI platform once—choose from ChatGPT, Claude, Cursor, Codex, or CLI coding agents and follow the 2-minute setup guide for your platform.

• Step 2: Describe your app: Tell your AI assistant what you want to build in natural language; the AI writes the code directly in your chat conversation based on your description.

• Step 3: Deploy automatically: When the code is ready, your AI calls AppDeploy through the MCP server and returns a live, public URL within approximately one minute.

• Step 4: Review QA results: Check the autonomous QA feedback and runtime logs through get_app_status to verify your app works correctly from a user's perspective.

• Step 5: Iterate and redeploy: Make changes in chat based on QA feedback or new requirements, then redeploy instantly to update your live application.

• Step 6: Manage versions: Use get_app_versions and apply_app_version to roll back to earlier stable versions if needed, or delete apps with delete_app when no longer required.

• Zero Infrastructure Knowledge Required: Unlike traditional deployment platforms, AppDeploy requires no understanding of hosting providers, server configuration, or DevOps practices—users can deploy purely through conversation.

• True Black-Box QA: The autonomous QA system validates apps from an external user perspective rather than relying on the coding agent's internal assumptions, catching real-world bugs that other AI deployment tools miss.

• Integrated Full-Stack Services: Combines hosting, database, authentication, file storage, and real-time capabilities in a single platform without requiring separate service setup or integration.

• Chat-Centric Workflow: Eliminates context switching by keeping the entire build-deploy-test cycle within the AI chat interface, unlike tools that force users into separate dashboards or terminals.

• Production-Ready from Day One: Supports versioning, rollbacks, and persistent infrastructure suitable for real user traffic, not just temporary demos or prototypes.

• Documentation: Comprehensive technical documentation covering MCP server setup, available tools, authentication, and the complete deployment workflow.

• FAQ Page: Detailed frequently asked questions addressing common user concerns about coding requirements, hosting, pricing, and platform compatibility.

• Installation Guides: Platform-specific setup instructions for ChatGPT, Claude, Cursor, Codex, CLI coding agents, and Antigravity with step-by-step walkthroughs.

• Blog: Articles explaining technical concepts like testing AI-built apps and chat-native deployment approaches.

• Gallery: Live examples of deployed applications with prompts and source references for learning and inspiration.

• Social Media and Contact: Reach out via X (Twitter), YouTube, or Facebook for updates and community engagement.

• Web Application: AppDeploy is accessible directly through your AI assistant platforms—no standalone download required. Install via ChatGPT Apps, Claude Connectors, Cursor MCP, or Codex CLI using the provided URLs and instructions.

• Cursor One-Click Install: Install in Cursor for immediate MCP server integration.

• Codex CLI: Run codex mcp add AppDeploy --url https://api-v2.appdeploy.ai/mcp in your terminal to add the MCP server.