Medusa.js Documentation MCP Server
M

Medusa.js Documentation MCP Server

The Medusa.js Documentation MCP Server provides AI assistants with intelligent search and real-time access to comprehensive Medusa.js v2 documentation.
2.5 points
5.7K

What is the Medusa.js Documentation MCP Server?

This is an intelligent documentation server designed specifically for Medusa.js developers. It allows AI assistants to instantly access and search over 2,100 documentation sections of Medusa.js v2 through the Model Context Protocol (MCP). It eliminates the need for manual document searching, enabling developers to focus on coding rather than searching.

How to use the Medusa.js Documentation MCP Server?

After installation and configuration, you can directly interact with the AI assistant in natural language to ask questions related to Medusa.js. The server will automatically search relevant documents and provide accurate answers, supporting three modes: fuzzy search, precise retrieval, and content browsing.

Applicable Scenarios

Suitable for Medusa.js developers, full-stack engineers, technical consultants, and teams that need quick access to Medusa documentation. Particularly useful for quickly obtaining documentation information when developing new features, debugging issues, learning best practices, and integrating third-party services.

Main Features

Intelligent Search
Quickly find relevant information among over 2,100 documentation sections through a fuzzy search algorithm, accurately matching even if the query is incomplete or contains spelling errors.
Precise Retrieval
Obtain specific documentation sections by accurate title or path, ensuring the most relevant information is obtained.
Complete Browsing
Browse all available documentation sections, supporting filtering by category for easy discovery of new features and learning content.
Lightning Speed
Optimized for performance based on TypeScript, providing instant response and a lag-free document access experience.
Zero Configuration
Comes with complete built-in documentation, no additional dependencies or setup required, ready to use out of the box.
Real-time Update
Based on the latest Medusa v2 documentation (September 2025), ensuring the information obtained is the latest best practice.
Advantages
Save a significant amount of time searching for documentation and improve development efficiency
Support natural language queries without the need to memorize the specific document structure
Cover comprehensive Medusa.js v2 documentation, including over 2,100 sections
Compatible with multiple AI assistants, including Claude Code, Cursor, Windsurf, etc.
No network connection required, all documents are stored and accessed locally
Limitations
Requires a Node.js 18+ environment to run
The file path needs to be correctly set during the initial configuration
Document updates require manual replacement of the document file
Only supports text-based document content

How to Use

Environment Preparation
Ensure that Node.js version 18+ and the npm or yarn package manager are installed on the system.
Download and Installation
Clone the project repository, install dependencies, and build the TypeScript code.
Configure the AI Assistant
Edit the corresponding configuration file according to the AI assistant you are using (Claude Code, Cursor, or Windsurf) and set the correct server path.
Restart and Test
Restart the AI assistant and test if the document search function is working properly.

Usage Examples

Payment Integration Development
When developing payment integration features, quickly find the configuration and API documentation of relevant payment providers.
Workflow Debugging
When encountering problems while debugging workflows, find relevant workflow configuration and debugging techniques.
Learning New Features
Learn about new feature modules in Medusa and understand their architecture and usage methods.
API Reference Query
When writing code, you need to query specific API endpoints and parameters.

Frequently Asked Questions

Which AI assistants does this server support?
How to update the document content?
What if the server fails to start?
What if the search results are inaccurate?
Does it support custom document formats?

Related Resources

Medusa.js Official Documentation
The official documentation website for Medusa.js
Model Context Protocol Official Website
The official description and specification of the MCP protocol
GitHub Repository
The source code and latest updates of the project
Medusa Community
The official Discord community for Medusa.js
Issue Feedback
Submit bug reports and feature requests

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "medusa-docs": {
      "command": "node",
      "args": ["/absolute/path/to/Medusa.js-Documentation-MCP-Server/dist/index.js"],
      "env": {
        "MEDUSA_DOCS_PATH": "/absolute/path/to/Medusa.js-Documentation-MCP-Server/docs/medusa-docs.txt"
      }
    }
  }
}

{
  "mcp": {
    "mcpServers": {
      "medusa-docs": {
        "command": "node",
        "args": ["/absolute/path/to/Medusa.js-Documentation-MCP-Server/dist/index.js"],
        "env": {
          "MEDUSA_DOCS_PATH": "/absolute/path/to/docs/medusa-docs.txt"
        }
      }
    }
  }
}

{
  "mcpServers": {
    "medusa-docs": {
      "command": "node",
      "args": ["/absolute/path/to/Medusa.js-Documentation-MCP-Server/dist/index.js"],
      "env": {
        "MEDUSA_DOCS_PATH": "/absolute/path/to/docs/medusa-docs.txt"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
6.1K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.5K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.4K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
6.6K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.8K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.6K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase