Medusa MCP

Medusa's MCP server for integrating AI and automation tools

Developer tools E-commerce and retail #AI Integration #Automation #Scalable #Modular .TypeScript

rating : 2.5 points

downloads : 8.4K

update time : 2025-04-28

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What is Medusa MCP?

Medusa MCP is a server based on the Model Context Protocol. It provides powerful backend support for the Medusa JavaScript SDK, enabling you to manage, automate, and scale Medusa's data models.

How to use Medusa MCP?

By installing and configuring the Medusa MCP server, you can easily integrate it into your existing system to achieve efficient business process automation and intelligent service expansion.

Applicable Scenarios

Medusa MCP is particularly suitable for business applications that require high automation and real-time interaction, such as e-commerce platforms, customer relationship management, and inventory management systems.

Main Features

Supports Model Context Protocol (MCP)

Provides a standardized JSON-RPC communication interface for seamless integration with other systems.

High Scalability

A flexible plugin architecture allows developers to add new features as needed.

Integrates with Medusa JS SDK

Built-in support for the Medusa JavaScript SDK simplifies the development process.

Advantages

Real-time service orchestration capabilities

Flexibility for cross-environment deployment

Modular design for easy maintenance

Powerful AI integration capabilities

Limitations

Requires certain system resources

Needs a certain technical background for initial configuration

How to Use

Clone the Repository

Use Git to clone the Medusa MCP code repository to your local machine.

Install Dependencies

Run the npm install command to install the project's required dependencies.

Build the Project

Execute the npm run build command to generate the final runnable files.

Start the Server

Run the npm start command to start the Medusa MCP server.

Usage Examples

Automatically Update Product Prices

Set rules through Medusa MCP to automatically adjust product prices in response to market demand changes.

Integrate Email Notifications

Use the MCP server to send order status change notifications to customers.

Frequently Asked Questions

How to configure Medusa MCP?

Which databases does the MCP server support?

Can the MCP server be customized?

Related Resources

Official Documentation

Get detailed documentation for the Medusa MCP server.

GitHub Code Repository

Access the open-source code repository of Medusa MCP.

Community Forum

Join the community discussion and share experiences.

🚀 medusa-mcp

medusa-mcp is a server based on the Model Context Protocol (MCP), specifically designed for integration with the Medusa JavaScript SDK. It offers an extensible backend layer for managing and interacting with Medusa's data models, supporting automation, orchestration, and intelligent service expansion.

🚀 Quick Start

medusa-mcp is a server tailored for integration with the Medusa JavaScript SDK, offering an extensible backend layer for managing and interacting with Medusa's data models.

✨ Features

🧩 What is an MCP Server?

An MCP server is a modular and extensible backend with the following capabilities:

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

These servers are widely used in AI, IoT, and enterprise software to connect various services and automate tasks using standardized protocols (e.g., JSON-RPC).

🔑 Core Features

Modular Architecture - Composable services for high flexibility
Efficiency - Optimized for speed and scalability
Extensible Design - Easy to add new features
Cross-Environment Deployment - Supports cloud, on-premises, or hybrid environments
AI-Ready Interfaces - Seamless integration with large language models (LLMs) and tools

🧠 Role in AI Systems

With an MCP server, AI agents can:

Access data from APIs, files, or databases in real-time
Automate business processes (e.g., inventory adjustments or price updates)
Interact with external services with secure controls

✨ Key Features

✅ Model Context Protocol (MCP) Support
📈 Scalable Infrastructure
🧱 Extensible Plugin Architecture
🔗 Integration with Medusa JS SDK

📦 Installation

Clone the repository and install dependencies:

npm install

Build the project:

npm run build

💻 Usage Examples

Basic Usage

Start the server:

npm start

Test using the MCP inspector tool:

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

⚠️ Important Note

Restart the inspector tool and browser after each rebuild.

📚 Documentation

🌍 Environment Variables

Property	Details
`MEDUSA_BACKEND_URL`	Your Medusa backend URL
`PUBLISHABLE_KEY`	Your Medusa publishable API key
`MEDUSA_USERNAME`	Medusa administrator username (for admins)
`MEDUSA_PASSWORD`	Medusa administrator password (for admins)

The server runs at http://localhost:3000.

🧠 Architecture Diagram

The following shows the position of the medusa-mcp server in a typical setup:

       +-------------------------+
       |     AI Assistant /      |
       |     LLM / Automation    |
       +-----------+-------------+
                   |
                   v
    +--------------+--------------+
    |     MCP Server (medusa-mcp) |
    |-----------------------------|
    | - JSON-RPC Communication    |
    | - AI-Ready Interfaces       |
    | - Plugin Support            |
    +------+----------------------+
                   |                             
                   +
                   |                                                         
                   v                                                         
         +-------------------+
         | Medusa Backend    |
         | (Products, Orders)|
         +-------------------+
                   |
                   v
         +-------------------+
         | Frontend App      |
         +-------------------+