MCP Adobe Aep

A Node.js server that provides comprehensive API interfaces for Adobe Experience Platform, supporting functions such as schema management, dataset operations, and segmentation management.

Customer data platform Marketing #AEP integration #Data management #API service #Adobe platform .TypeScript

rating : 2 points

downloads : 14

update time : 2025-04-28

What is the MCP AEP Server?

This is a middleware service specifically designed for Adobe Experience Platform, helping enterprises quickly implement customer data management, user segmentation, and data analysis functions through standardized APIs. It encapsulates the complex interfaces of AEP and provides simple and easy-to-use RESTful APIs.

How to use the MCP service?

You can use it in four simple steps: 1) Configure an Adobe developer account. 2) Set environment variables. 3) Start the service. 4) Call the API through the Swagger documentation. The service provides a complete authentication and error handling mechanism.

Use cases

Suitable for enterprises that need to implement the following scenarios: unified customer data management, real-time user profile analysis, cross-channel marketing campaign execution, customer journey optimization, and other digital transformation needs.

Main features

Data model managementProvide complete CRUD interfaces to manage XDM data models, supporting field-level validation and version control.

Real-time user segmentationCreate and manage dynamic user segments through simple APIs, supporting conditional combinations and real-time updates.

Batch data importSupport batch import of JSON/CSV format data into specified datasets, and automatically handle field mapping.

Unified customer profileMerge customer data across channels to generate a 360-degree view, supporting custom identity merging rules.

Data analysis serviceExecute complex data analysis through SQL interfaces, supporting scheduled tasks and result export.

Advantages and limitations

Advantages

Out-of-the-box full-function integration of AEP, reducing 80% of development workload.

Standardized REST API design, reducing the learning curve.

Built-in perfect error handling and log monitoring.

Modular architecture for easy function expansion.

Provide interactive API documentation and testing tools.

Limitations

An Adobe developer account needs to be pre-configured.

Some advanced features require an AEP enterprise edition license.

Performance tuning is required for large data volume operations.

There is a 1 - 2 minute delay in real-time queries.

How to use

Environment preparation

Ensure that Node.js v14+ and npm are installed, and obtain a valid Adobe developer account.

Service deployment

Clone the code repository and install dependencies, and configure the environment variable file.

Service startup

Compile and start the service. Hot loading is supported in development mode.

API testing

Access the Swagger documentation interface for API testing and verification.

Usage examples

Customer segmentation marketingCreate a high-value customer segment and activate it on the Facebook advertising platform.

Cross-channel user identificationMerge website and APP behavior data to generate a unified customer view.

Frequently Asked Questions

What permissions are required to use this service?

What are the limitations of data import?

How to monitor API usage?

Related resources

Adobe Experience Platform documentation

Official AEP function documentation and API reference.

GitHub code repository

Project source code and issue tracking.

Postman collection

Pre-configured API test collection.

🚀 Adobe Experience Platform Server MCP

This is a Node.js-based server that offers a comprehensive set of API interfaces for integration with Adobe Experience Platform (AEP). It supports various AEP features, including schemas, datasets, segmentation, profiles, and more.

🚀 Quick Start

This Node.js server provides seamless integration with Adobe Experience Platform, offering a wide range of API endpoints for various AEP features.

✨ Features

Schema management
Dataset operations
Segmentation management
Data ingestion
Profile management
Query services
Destination management
Swagger documentation
Input validation
Error handling

📦 Installation

Prerequisites

Node.js (v14 or higher)
npm or yarn
An Adobe Experience Platform account with API access
An Adobe Developer Console project configured for AEP integration

Steps

Clone the repository:

git clone https://github.com/praveensharmajava/mcp-adobe-aep.git
cd mcp-adobe-aep

Install dependencies:

npm install

Create a .env file in the root directory and enter your Adobe credentials:

PORT=3000
AEP_BASE_URL=https://platform.adobe.io
AEP_CLIENT_ID=your_client_id
AEP_CLIENT_SECRET=your_client_secret
AEP_ORG_ID=your_organization_id

Build the project:

npm run build

Start the server:

npm start

For development mode:

npm run dev

📚 Documentation

API Documentation

After starting the server, you can access the Swagger documentation at:

http://localhost:3000/api-docs

API Endpoints

Schemas

GET /api/aep/schemas - List all schemas
POST /api/aep/schemas - Create a new schema

Datasets

GET /api/aep/datasets - List all datasets
POST /api/aep/datasets - Create a new dataset

Segmentation

GET /api/aep/segments - List all segments
POST /api/aep/segments - Create a new segment

Data Ingestion

POST /api/aep/ingest/:datasetId - Ingest data into a dataset

Profiles

GET /api/aep/profiles/:identityValue - Get a unified profile

Query Services

POST /api/aep/query - Execute a query

Destinations

GET /api/aep/destinations - List all destinations
POST /api/aep/destinations/:destinationId/activate/:segmentId - Activate a segment

🔧 Technical Details

Error Handling

The server includes comprehensive error handling for:

Adobe API errors
Connection issues
Validation errors
Internal server errors

Development

To contribute to the project:

Create a new branch
Apply changes
Write or update tests
Submit a pull request

Testing

Run the test suite:

npm test

📄 License

ISC

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