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AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications (iOS/Android).

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AutoGenesis

📚 View Documentation Website | 中文文档

AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications (iOS/Android).

Install AutoGenesis 1.1

Native macOS and native Windows are supported; Linux and WSL are not. Python 3.10 or newer is required. The Agent Install Prompt detects the native host from local OS facts first and stops on Linux, WSL, or any other unsupported host before any download, acquired-content interpretation, approval request, or write.

CLI-first

Install the CLI through the Python environment and package index you choose:

python -m pip install autogenesis-cli==0.2.0
autogenesis install

The Python package installation resolves the supported host bundle:

Host Installed AutoGenesis dependencies
macOS Agent Contract 2.1.0 and Appium Runtime 0.5.0
Windows Agent Contract 2.1.0, Appium Runtime 0.5.0, and Windows Runtime 0.5.0

Check the installed command versions without starting a Runtime or reading business configuration:

autogenesis --version
autogenesis-appium-mcp --version
autogenesis-windows-mcp --version  # Windows only

autogenesis install does not invoke pip or uv. It verifies those already installed package versions and installs the canonical autogenesis-setup and autogenesis-run files under ~/.agents/skills. Running it again with identical Skill files reports them as unchanged.

The command does not install Appium Server, Appium Drivers, platform SDKs, project MCP configuration, or business configuration, and does not execute an application. Use autogenesis-setup afterward to inspect a concrete target and approve any additional machine or project preparation.

For local Appium readiness, Setup loads the immutable official Appium Skills snapshot pinned by Agent Contract 2.1.0. autogenesis appium-skills --json verifies its identity and inventory, and autogenesis appium-asset <relative> returns only bytes held by that verification pass without trusting a mutable path.

Agent-first

Copy agent-install-prompt.txt from the Agent Contract 2.1.0 release into OMP, Pi, Codex CLI, or GitHub Copilot CLI. Before acquisition, the prompt requires native Darwin or native Windows and rejects Linux and WSL. Only after that gate passes does it download the Setup Skill as untrusted bytes, verify the published SHA-256, show the selected scope and destination, request approval, and persistently install only autogenesis-setup through the Coding Agent's native Skill mechanism. A session-only trial is not supported in this release. Setup then proposes the host Runtime and project-readiness plan; it does not execute that plan without the user's approval.

Low-level autogenesis-appium-mcp and autogenesis-windows-mcp packages remain independently runnable without Skills for expert CLI/MCP consumers.

Platform-Specific Documentation

Please refer to the appropriate documentation based on your testing platform:

💻 Windows Testing

Features:

  • Windows desktop app automation
  • Native Windows control support
  • AI-assisted test script generation

Get Started:

🍎 macOS Testing

Features:

  • macOS desktop app automation
  • Native macOS control support
  • AI-assisted test script generation

Get Started:

📱 Mobile Testing (iOS/Android)

Features:

  • iOS and Android app automation
  • BrowserStack cloud testing integration
  • AI-assisted test script generation

Get Started:

🧩 VS Code Extension (BDD AI Toolkit)

Features:

  • AI-powered BDD test recording and one-click replay
  • Natural language to automation code generation
  • GitHub Copilot integration via Model Context Protocol (MCP)

Get Started:

Quick Links

Project Structure

AutoGenesis/
├── appium-mcp-server/       # MCP server for mobile/mac automation
│   ├── tools/               # Platform-specific driver tools
│   ├── llm/                 # LLM integration
│   └── utils/               # Utilities
├── pywinauto-mcp-server/    # MCP server for Windows automation
│   ├── tools/               # Windows-specific automation tools
│   ├── llm/                 # LLM integration
│   └── utils/               # Utilities
├── bdd_ai_toolkit/          # VS Code extension
│   ├── src/                 # Extension source code
│   └── resources/           # UI resources
└── behave-demo/             # Sample BDD tests
    └── features/            # Feature files and step definitions

Telemetry

By default, AutoGenesis reports usage data to the official AutoGenesis Application Insights instance for product improvement.

This telemetry is used to understand feature usage and improve product quality.

Feedback

For questions or feedback, please contact: autogenesis@microsoft.com

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

See CONTRIBUTING.md for detailed contribution guidelines.

Security

Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include Microsoft, Azure, DotNet, AspNet, and Xamarin.

If you believe you have found a security vulnerability in any Microsoft-owned repository that meets Microsoft's definition of a security vulnerability, please report it to us as described below.

Reporting Security Issues

Please do not report security vulnerabilities through public GitHub issues.

Instead, please report them to the Microsoft Security Response Center (MSRC) at https://msrc.microsoft.com/create-report.

If you prefer to submit without logging in, send email to secure@microsoft.com. If possible, encrypt your message with our PGP key; please download it from the Microsoft Security Response Center PGP Key page.

You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at microsoft.com/msrc.

Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:

  • Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
  • Full paths of source file(s) related to the manifestation of the issue
  • The location of the affected source code (tag/branch/commit or direct URL)
  • Any special configuration required to reproduce the issue
  • Step-by-step instructions to reproduce the issue
  • Proof-of-concept or exploit code (if possible)
  • Impact of the issue, including how an attacker might exploit the issue

This information will help us triage your report more quickly.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

License

See LICENSE for license information.

About

AutoGenesis is an AI-powered automated testing framework based on Model Context Protocol (MCP), supporting multiple platforms including desktop applications (Windows/macOS) and mobile applications (iOS/Android).

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Security policy

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