Adobe Experience Platform MCP Server

Local setup required. This server has to be cloned and prepared on your machine before you register it in Claude Code.
1

Set the server up locally

Run this once to clone and prepare the server before adding it to Claude Code.

Run in terminal
git clone https://github.com/praveensharmajava/mcp-adobe-aep.git
cd mcp-adobe-aep
npm install
npm run build
2

Register it in Claude Code

After the local setup is done, run this command to point Claude Code at the built server.

Run in terminal
claude mcp add -e "AEP_BASE_URL=${AEP_BASE_URL}" -e "AEP_CLIENT_ID=${AEP_CLIENT_ID}" -e "AEP_CLIENT_SECRET=${AEP_CLIENT_SECRET}" -e "AEP_ORG_ID=${AEP_ORG_ID}" adobe-experience-platform -- node "<FULL_PATH_TO_MCP_AEP_NCBASE>/dist/index.js"

Replace <FULL_PATH_TO_MCP_AEP_NCBASE>/dist/index.js with the actual folder you prepared in step 1.

Required:AEP_BASE_URLAEP_CLIENT_IDAEP_CLIENT_SECRETAEP_ORG_ID+ 1 optional
README.md

API interface for Adobe Experience Platform integration

MCP API Services for Adobe Experience Platform

This Node.js server provides an API for integrating AI development and QA environments with Adobe Experience Platform (AEP), supporting key functions like schemas, datasets, segments, profiles, and beyond.

Future functionality

  • Audience APIs
  • AJO journey API

** credit to great work of Praveeen Sharma https://github.com/praveensharmajava/

Features

  • Schema Management
  • Dataset Operations
  • Segment Management
  • Data Ingestion
  • Profile Management
  • Query Service
  • Destinations Management
  • Swagger Documentation
  • Input Validation
  • Error Handling

Prerequisites

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

Setup

  1. Clone the repository:
git clone https://github.com/praveensharmajava/mcp-adobe-aep.git
cd mcp-adobe-aep
  1. Install dependencies:
npm install
  1. Create a .env file in the root directory with 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
  1. Build the project:
npm run build
  1. Start the server:
npm start

For development:

npm run dev

API Documentation

Once the server is running, 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

Segments

  • 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 unified profile

Query Service

  • 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

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:

  1. Create a new branch
  2. Make your changes
  3. Write/update tests
  4. Submit a pull request

Testing

Run the test suite:

npm test

License

ISC

Tools (6)

list_schemasList all available schemas in AEP
list_datasetsList all available datasets in AEP
list_segmentsList all available segments in AEP
ingest_dataIngest data into a specific dataset
get_profileGet a unified profile by identity value
execute_queryExecute a query using the AEP Query Service

Environment Variables

PORTPort for the server to run on
AEP_BASE_URLrequiredBase URL for Adobe Experience Platform API
AEP_CLIENT_IDrequiredAdobe Developer Console Client ID
AEP_CLIENT_SECRETrequiredAdobe Developer Console Client Secret
AEP_ORG_IDrequiredAdobe Organization ID

Configuration

claude_desktop_config.json
{"mcpServers": {"aep": {"command": "node", "args": ["/path/to/mcp-adobe-aep/index.js"], "env": {"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"}}}}

Try it

List all the schemas currently defined in our Adobe Experience Platform instance.
Retrieve the unified profile for the user with identity value 'user123'.
Execute a query to find the total count of records in the customer dataset.
List all available segments to see which audiences are ready for activation.

Frequently Asked Questions

What are the key features of Adobe Experience Platform?

Schema and Dataset management operations. Segment management and activation. Data ingestion into specific datasets. Unified profile retrieval. Query Service execution.

What can I use Adobe Experience Platform for?

Automating schema discovery for AI-driven data mapping tasks. Integrating AEP profile data into AI chat workflows for personalized customer insights. Streamlining data ingestion processes for QA and development environments. Querying AEP datasets directly through natural language prompts.

How do I install Adobe Experience Platform?

Install Adobe Experience Platform by running: git clone https://github.com/praveensharmajava/mcp-adobe-aep.git && cd mcp-adobe-aep && npm install && npm run build

What MCP clients work with Adobe Experience Platform?

Adobe Experience Platform works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep Adobe Experience Platform docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare