MCP Adobe Experience Platform Server

what is MCP Adobe Experience Platform Server? MCP Adobe Experience Platform Server is a Node.js server designed to provide a comprehensive API interface for integrating with Adobe Experience Platform (AEP). It facilitates various functionalities such as schema management, dataset operations, segment management, and more. how to use MCP Adobe Experience Platform Server? To use the server, clone the repository from GitHub, install the necessary dependencies, configure your Adobe credentials in a .env file, build the project, and start the server. You can then access the API documentation via Swagger. key features of MCP Adobe Experience Platform Server? Schema Management Dataset Operations Segment Management Data Ingestion Profile Management Query Service Comprehensive Error Handling Swagger Documentation for API use cases of MCP Adobe Experience Platform Server? Managing schemas and datasets for Adobe Experience Platform. Ingesting data into AEP datasets. Executing queries against AEP data. Activating segments for targeted marketing campaigns. FAQ from MCP Adobe Experience Platform Server? What are the prerequisites to run the server? You need Node.js (v14 or higher), npm or yarn, and an Adobe Experience Platform account with API access. How can I access the API documentation? Once the server is running, you can access the Swagger documentation at http://localhost:3000/api-docs. How do I contribute to the project? To contribute, create a new branch, make your changes, write/update tests, and submit a pull request.

As an MCP (Model Context Protocol) server, MCP Adobe Experience Platform Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, clone the repository from GitHub, install the necessary dependencies, configure your Adobe credentials in a .env file, build the project, and start the server. You can then access the API documentation via Swagger. key features of MCP Adobe Experience Platform Server? Schema Management Dataset Operations Segment Management Data Ingestion Profile Management Query Service Comprehensive Error Handling Swagger Documentation for API use cases of MCP Adobe Experience Platform Server? Managing schemas and datasets for Adobe Experience Platform. Ingesting data into AEP datasets. Executing queries against AEP data. Activating segments for targeted marketing campaigns. FAQ from MCP Adobe Experience Platform Server? What are the prerequisites to run the server? You need Node.js (v14 or higher), npm or yarn, and an Adobe Experience Platform account with API access. How can I access the API documentation? Once the server is running, you can access the Swagger documentation at http://localhost:3000/api-docs. How do I contribute to the project? To contribute, create a new branch, make your changes, write/update tests, and submit a pull request.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.