WooCommerce MCP Server – Python Edition

The WooCommerce MCP Server bridges the gap between AI assistants and e‑commerce stores built on WordPress. By exposing a Model Context Protocol (MCP) interface, it allows an AI agent to perform all core store operations—managing products, orders, customers, shipping, taxes, discounts, and even custom WooCommerce metadata—directly through the same request‑response flow that powers conversational agents. This eliminates the need for bespoke integrations or manual API calls, letting developers treat a shop as a first‑class data source in their AI workflows.

At its core, the server wraps the WordPress REST API and the WooCommerce REST API into a unified MCP endpoint. It authenticates via consumer keys for WooCommerce and optional WordPress credentials for content‑management methods, ensuring secure access to both the store’s data layer and its underlying CMS. The MCP interface exposes a rich set of actions such as , , , and . Each action maps cleanly to the corresponding REST endpoint, while the server handles serialization, error translation, and authentication transparently. For developers, this means that an AI assistant can query inventory levels, place orders, or even publish blog posts about new releases—all through a single protocol call.

Key capabilities include:

• Full product lifecycle management: create, read, update, and delete products along with custom meta fields.
• Order processing: retrieve orders, update statuses, and manage shipping and tax details.
• Customer insights: fetch customer profiles and purchase history for personalized recommendations.
• Content integration: create, update, or delete WordPress posts and metadata, enabling AI‑generated marketing copy to be published automatically.
• Authentication flexibility: support for both WooCommerce consumer keys and optional WordPress basic auth, catering to stores that expose only a subset of endpoints.

Typical use cases span the e‑commerce ecosystem: an AI assistant could power a voice‑enabled storefront where customers ask for product availability and place orders; a marketing bot could auto‑post new product launches to the shop’s blog; or an internal support agent could pull order details and suggest troubleshooting steps. Because the server runs as a lightweight Python application, it can be deployed on any platform—locally for testing or in the cloud via Railway—for instant, secure access from AI clients.

By integrating seamlessly with MCP‑aware assistants, the WooCommerce MCP Server offers developers a standardized, low‑overhead method to embed rich store functionality into conversational experiences. Its unified API surface, robust authentication, and comprehensive coverage of WooCommerce features make it a standout choice for any team looking to fuse AI intelligence with e‑commerce operations.