1.3. Build with AI Assistants and LLMs

In this chapter, you'll learn how you can use AI assistants and LLMs effectively in your Medusa development.

Agent Skills for Medusa#

Medusa provides Claude Code plugins to assist you in learning and building with Medusa. These plugins include skills that you can use in Claude Code, or copy into other AI tools that support custom skills.

If you use AI agents in your development workflow, our team recommends installing these plugins to enhance your development experience with Medusa.

The following sections explain how to use the plugins with Claude Code or other AI agents.

Medusa Development Assistance#

If you want assistance in your Medusa development, install the medusa-dev plugin:

Then, you can ask Claude Code (or other AI agents) to build Medusa features, fix bugs, and more. Claude Code will use the skills in the plugin to provide you with accurate and relevant Medusa code.

Examples of prompts you can use:

Example Prompts
❯Implement a product reviews feature. Authenticated customers can add reviews. Admin users can view and approve or reject reviews from the dashboard❯Create a wishlist feature where customers can save products. I need API routes for adding/removing items and retrieving the wishlist.❯Add a widget to the product detail page in the admin that allows managing related products. Admin users should be able to select which products are related using a searchable table.❯Help me integrate the custom reviews API into my Next.js storefront. Show product reviews on the product detail page with pagination.

Available Commands

The plugin also provides the following commands (as skills) you can use in Claude Code:

Ecommerce Storefront Best Practices#

Medusa provides the ecommerce-storefront plugin with a storefront-best-practices skill to help you build ecommerce storefronts for any ecommerce platform, including Medusa, and any frontend framework, such as Next.js or Tanstack Start.

To install the plugin in Claude Code (or other AI agents), run the following commands:

You can then run prompts to make changes to your ecommerce storefront or build it from scratch. For example:

Example Prompts
❯Build a Next.js ecommerce storefront that uses Medusa as the backend. The storefront should have product listing, product detail, cart, and checkout pages.❯Add a megamenu to the storefront's header that displays product categories and subcategories. The menu should be responsive and work well on mobile devices.

Interactive Learning#

If you're a Medusa beginner, install the learn-medusa plugin to start an interactive learning experience:

Then, start the learning experience with this prompt:

Claude Code Prompt
❯I want to learn Medusa.

This starts the interactive learning experience where you'll learn Medusa concepts step-by-step by building a brands feature, similar to the Brands tutorial. You will:

1. Create a Brand Module with API routes to manage brands.
2. Link brands to products to associate products with brands.
3. Customize the Medusa Admin dashboard to allow admin users to manage brands.

By the end, you'll have a solid understanding of Medusa's architecture and how to build custom features.

MCP Remote Server#

The Medusa documentation provides a remote Model Context Protocol (MCP) server that allows you to find information from the Medusa documentation right in your IDEs or AI tools, such as Cursor.

Medusa hosts a Streamable HTTP MCP server at https://docs.medusajs.com/mcp that you can add to AI agents supporting MCP server connections.

Code
1{2  "mcpServers": {3    "medusa": {4      "url": "https://docs.medusajs.com/mcp"5    }6  }7}

How to Use the MCP Server#

After connecting to the Medusa MCP server in your AI tool or IDE, you can start asking questions or requesting your AI assistant to build Medusa customizations. It will fetch the relevant information from the Medusa documentation and provide you with accurate answers, code snippets, and explanations.

For example, you can ask:

1. "Create a Product Review module for Medusa. Refer to the Medusa documentation for information."
2. "How to update Medusa to the latest version?"
3. "Explain the Medusa workflow system."
4. "Integrate Medusa with X provider. Refer to the Medusa documentation for information."

AI Assistant in Documentation#

The Medusa documentation includes an AI Assistant that answers your questions and helps you build customizations with Medusa.

Open the AI Assistant#

To open the AI Assistant, either:

• Use the keyboard shortcut Ctrl + I for Windows/Linux, or Cmd + I for macOS.
• Click the icon in the top right corner of the documentation.

You can then ask the AI Assistant any questions about Medusa, such as:

• What is a workflow?
• How to create a product review module?
• How to update Medusa?
• How to fix this error?

The AI Assistant will provide you with relevant documentation links, code snippets, and explanations to help you with your development.

Ask About Code Snippets#

While browsing the documentation, you'll find a icon in the header of code snippets. You can click this icon to ask the AI Assistant about the code snippet.

The AI Assistant will analyze the code and provide explanations, usage examples, and any additional information you need to understand how the code works.

Ask About Documentation Pages#

If you need more help understanding a specific documentation page, you can click the "Explain this page" link in the page's right sidebar. This will open the AI Assistant and provide context about the current page, allowing you to ask questions related to the content.

Formatting and Code Blocks#

In your questions to the AI Assistant, you can format code blocks by wrapping them in triple backticks (```). For example:

Code
1```2console.log("Hello, World!")3```

You can add new lines using the Shift + Enter shortcut.

Plain Text Documentation#

The Medusa documentation is available in plain text format, allowing LLMs and AI tools to easily parse and understand the content.

You can access the following plain text documentation files:

• llms.txt - Contains a short structure of links to important documentation pages.
• llms-full.txt - Contains the full documentation content, including all pages and sections.
• Markdown version of any page - You can access the Markdown version of any documentation page by appending /index.html.md to the page URL. For example, the plain text content of the current page is available at https://docs.medusajs.com/learn/introduction/build-with-llms-ai/index.html.md.

You can provide these files to your AI tools or LLM editors like Cursor. This helps them understand the Medusa documentation and provide better assistance when building customizations or answering questions.