AIBase
EN
Explore
Aem MCP Server
A

Aem MCP Server

A full-featured Model Context Protocol (MCP) server designed for Adobe Experience Manager (AEM), allowing users to interact with AEM instances through natural language, manage content, components, and resources, and support integration with AI IDEs.
Developer toolsArtificial intelligence chatbots#AEM management#AI integration#Content management#MCP protocol.TypeScript
2 points
0
Open Site

Overview

Installation

Tools List

Content Details

Alternatives

What is AEM MCP Server?

AEM MCP Server is an intelligent assistant that allows you to manage Adobe Experience Manager (AEM) through natural language (just like having a conversation with a person). Whether you want to find content, update pages, manage image resources, or perform other AEM operations, you can simply tell it in Chinese or English, and it will automatically execute the corresponding tasks.

How to use AEM MCP Server?

It's very simple to use: 1) Install and start the server to connect to your AEM instance; 2) Configure the connection in a supported AI editor (such as Cursor, VS Code, etc.); 3) Start asking questions or giving instructions in natural language, for example, 'Help me find all pages about products' or 'Update the title of the home page'.

Applicable scenarios

It is very suitable for non-technical roles such as content editors, marketers, and project managers who need to manage AEM content but don't want to learn complex technical operations. It is also suitable for developers who want to quickly query or test AEM content without logging in to the management background.

Main features

Content and resource management
Create, update, delete, publish, and unpublish AEM pages and resources (such as images and documents). Support batch operations and status management.
Component management
Verify component configurations, update component properties, scan component usage on pages, manage experience fragments, etc.
Intelligent search
Powerful content search function, supporting keyword search, fuzzy matching, and query builder to quickly locate the required content.
AI natural language interface
Interact with AEM using everyday language through AI models such as OpenAI, Anthropic, and Ollama, without having to remember complex commands.
Multi-environment support
Support both AEM as a Cloud Service (AEMaaCS) and self-hosted AEM instances, adapting to different deployment environments.
Editor integration
Seamlessly integrate into modern code editors and AI assistants such as Cursor, VS Code, and WebStorm, and use it directly in the workflow.
Advantages
No technical background required: Non-technical personnel can easily manage AEM content.
Improve efficiency: Natural language interaction is faster than traditional interface operations.
Reduce errors: Clear instructions reduce the risk of misoperations.
Flexible integration: Support multiple AI models and development environments.
Comprehensive coverage: Support most core management functions of AEM.
Limitations
Requires network connection: Must be able to access the AEM instance.
Depends on AI understanding: Complex instructions may require adjustment of the expression.
Permission restrictions: Limited by the permissions of the AEM user account.
Learning curve: Need to understand basic AEM concepts (such as pages and components).

How to use

Install the server
Install the AEM MCP Server package globally via npm. Make sure Node.js 18 or a higher version is installed.
Configure the connection
Configure the connection parameters according to your AEM environment type: - Self-hosted AEM: Use username and password - AEM as a Cloud Service: Use Client ID and Secret
Integrate into the AI editor
Add the MCP server configuration in editors such as Cursor and VS Code. Usually, you need to add the server URL in the settings.
Start the conversation
In the AI chat interface of the editor, use natural language to put forward your AEM management requirements, for example, 'List all unpublished pages' or 'Update the content of the About Us page'.

Usage examples

Content editors quickly update pages
The marketing team needs to urgently update the promotion information on the home page. Content editors can directly complete the update through AI dialogue without logging in to the AEM management background.
Find specific resources
Designers need to find all product images for making promotional materials but are not sure about the specific storage location.
Publish content in batches
Before the project goes live, a series of related pages need to be published to the production environment at the same time.

Frequently Asked Questions

Do I need to be a developer to use this tool?
Which AEM versions are supported?
Is my AEM login information secure?
What if the AI doesn't understand my instructions?
Is additional AEM configuration required?

Related resources

Official GitHub repository
Source code, issue feedback, and latest updates
Detailed API documentation
Complete API interface description and technical details
Reference for similar projects
Implementation reference for related projects
Adobe AEM documentation
Adobe official AEM documentation and tutorials
Introduction to the MCP protocol
Official specification of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "AEM": {
      "url": "http://127.0.0.1:8502/mcp"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

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
4.5K
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
6.6K
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
7.2K
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
7.4K
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
9.3K
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
10.7K
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
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.5K
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
20.2K
4.5 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
24.2K
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
72.3K
4.3 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
34.2K
5 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#
31.0K
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
64.2K
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
48.4K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase