SGFGOV medusa mcp

SGFGOV medusa mcp avatar

by SGFGOV

MCP server for Medusa JS SDK

What is SGFGOV medusa mcp

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.


🧩 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


🚀 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

✨ Features

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

🛠️ Installation

Clone the repository and install dependencies:

npm install

Build the project:

npm run build

▶️ 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.


🌍 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


🧠 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.


🤝 Contributing

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


📄 License

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

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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