Medusa MCP Server

by SGFGOV
Verified

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Works out-of-the-box with the Medusa JavaScript SDK, providing seamless integration for JavaScript applications to communicate with Medusa's backend services.

  • Implements the Model Context Protocol (MCP) for the Medusa JavaScript SDK, enabling efficient management and interaction with Medusa's data models for e-commerce applications.

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

VariableDescription
MEDUSA_BACKEND_URLYour Medusa backend URL
PUBLISHABLE_KEYYour Medusa publishable API key
MEDUSA_USERNAMEMedusa admin username (for admin)
MEDUSA_PASSWORDMedusa 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.

ID: mm0iug6eap