Welcome to Automattic's AI Experiments monorepo—a public repository where we share prototypes, demos, and proof-of-concept projects that explore how AI can enhance the WordPress and WooCommerce ecosystems.

This repository serves as a public showcase where Automattic developers share experimental AI projects with the broader WordPress community. It's a space for open collaboration, learning, and gathering feedback. Projects here are experimental by nature — there's no expectation of production-level stability or ongoing maintenance.

• Model Context Protocol (MCP) Servers: Located in the /mcp directory, these servers enable AI assistants to interact with Automattic services through natural language:
  • WooCommerce MCP Server: A full-featured server for AI-powered WooCommerce store management
  • WordPress.com MCP Server: (In Development) For interacting with WordPress.com services
• AI-Enabled Plugins: WordPress plugins that leverage AI services or machine learning libraries
  • LLMS TXT: A plugin that exposes site content through structured text endpoints (/llms.txt) for LLM consumption
• Integration Prototypes: Early ideations around AI features related to WooCommerce, WordPress.com, or other Automattic platforms

Each subfolder contains its own experiment with a brief README explaining what it does, why it exists, and how to try it out.

This repository is maintained by Automattic developers, but we welcome engagement from the entire WordPress community! Whether you want to try out experiments, provide feedback, or suggest improvements, here's how you can participate:

1. Fork and Clone this repo to explore and experiment with the code.
2. Open Issues to report bugs, suggest improvements, or start discussions.
3. Submit Pull Requests if you have ideas for enhancing existing experiments.
4. Share Feedback on what you'd like to see or how these experiments could be more useful.

Automattic developers can also directly contribute new experiments following internal guidelines.

Unless noted otherwise, each project within this monorepo is open-source under the terms outlined in its respective folder. See the LICENSE file or project-specific licenses for details.

• For general discussions, open an issue or post in the relevant experiment's folder.
• If you have questions about a particular project, look for a README or contact details in that directory.

Happy experimenting!