What is Medusa Mcp

medusa-mcp is a Model Context Protocol (MCP) server designed for integration with the Medusa JavaScript SDK. It serves as a scalable backend layer for managing and interacting with Medusa’s data models, facilitating automation, orchestration, and intelligent service extensions.

Use cases

Use cases for medusa-mcp include automating workflows like inventory or pricing adjustments, connecting with external tools such as email and analytics, utilizing AI agents for trend analysis and action triggering, and enabling scalable, modular architecture for commerce platforms.

How to use

To use medusa-mcp, clone the repository and install the dependencies using ‘npm install’. Then, build the project with ‘npm run build’ and start the server to begin integrating with Medusa JS.

Key features

Key features of medusa-mcp include a modular architecture for flexibility, high efficiency optimized for speed and scale, an extensible design for easy addition of new capabilities, cross-environment deployment options (cloud, on-prem, or hybrid), and AI-ready interfaces for seamless integration with LLMs and tools.

Where to use

medusa-mcp can be used in various fields such as AI, IoT, and enterprise software, where it connects different services and automates tasks using standardized protocols like JSON-RPC.

medusa-mcp

Overview

medusa-mcp is a Model Context Protocol (MCP) server designed for integration with the Medusa JavaScript SDK. It provides a scalable backend layer for managing and interacting with Medusa’s data models, enabling automation, orchestration, and intelligent service extensions.

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🧩 What is an MCP Server?

An MCP server is a modular, extensible backend that:

• Enables real-time service orchestration
• Supports standardized, high-throughput communication
• Acts as a bridge between AI/automation tools and real-world systems

These servers are used in areas like AI, IoT, and enterprise software to connect various services and automate tasks using standardized protocols like JSON-RPC.

🔑 Key Features

• Modular Architecture – Composable services for flexibility
• High Efficiency – Optimized for speed and scale
• Extensible Design – Add new capabilities easily
• Cross-Environment Deployment – Cloud, on-prem, or hybrid
• AI-Ready Interfaces – Integrate LLMs and tools seamlessly

🧠 Role in AI Systems

MCP servers allow AI agents to:

• Access real-time data from APIs, files, or databases
• Automate business processes (e.g., order fulfillment, pricing updates)
• Interact with external services in a secure and controlled way

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🚀 Medusa JS + MCP

Using medusa-mcp, Medusa JS can:

• Automate workflows (e.g., inventory or pricing adjustments)
• Connect with external tools (email, analytics, etc.)
• Use AI agents to analyze trends and trigger actions
• Enable scalable, modular architecture for commerce platforms

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✨ Features

• ✅ Model Context Protocol (MCP) support
• 📈 Scalable infrastructure
• 🧱 Extensible plugin architecture
• 🔗 Integrated with Medusa JS SDK

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🛠️ Installation

Clone the repository and install dependencies:

npm install

Build the project:

npm run build

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▶️ Usage

Start the server:

npm start

Test using the MCP Inspector:

npx @modelcontextprotocol/inspector ./dist/index.js

Note: Restart the Inspector and your browser after each rebuild.

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🌍 Environment Variables

Variable	Description
MEDUSA_BACKEND_URL	Your Medusa backend URL
PUBLISHABLE_KEY	Your Medusa publishable API key
MEDUSA_USERNAME	Medusa admin username (for admin)
MEDUSA_PASSWORD	Medusa admin password (for admin)

Server runs at: http://localhost:3000

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🧠 Architecture Diagram

Here’s how the medusa-mcp server fits into a typical setup with Medusa JS and external systems:

       +-------------------------+
       |     AI Assistant /      |
       |     LLM / Automation    |
       +-----------+-------------+
                   |
                   v
    +--------------+--------------+
    |     MCP Server (medusa-mcp) |
    |-----------------------------|
    | - JSON-RPC Communication    |
    | - AI-Ready Interface        |
    | - Plugin Support            |
    +------+----------------------+
                   |                             
                   +
                   |                                                         
                   v                                                         
         +-------------------+
         | Medusa Backend    |
         | (Products, Orders)|
         +-------------------+
                   |
                   |
                   v
           +--------------+
           | Medusa Store |
           | Frontend     |
           +--------------+
                   |
                   |
                   v
      +-------------------------+
      | External Services / API |
      | (e.g., Payments, Email) |
      +-------------------------+

🧪 Customization

To tailor the server to your Medusa setup:

Replace admin.json and store.json with your own OAS definitions for fine-grained control.

• Replace the OpenAPI schemas in the oas/ folder:
  • admin.json – Admin endpoints
  • store.json – Storefront endpoints

Use the @medusajs/medusa-oas-cli to regenerate these files.

You can also fork this project to build your own custom MCP-powered Medusa integration.

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🤝 Contributing

We welcome contributions! Please see our CONTRIBUTING.md guide.

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📄 License

This project is licensed under the MIT License. See the LICENSE file for details.