MCP Adobe Experience Platform Server
@praveensharmajava
About MCP Adobe Experience Platform Server
MCP Server for Adobe Experience Platform APIs integration
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Adobe Experience Platform Server?
MCP Adobe Experience Platform Server is a Node.js server that provides a comprehensive API interface for Adobe Experience Platform (AEP) integration, supporting schemas, datasets, segments, profiles, and more. It is intended for developers working with AEP who need a programmatic way to manage platform resources.
How to use MCP Adobe Experience Platform Server?
Clone the repository, install dependencies with npm install, create a .env file with your Adobe credentials (client ID, client secret, organization ID, and base URL), then build and start the server using npm run build and npm start. Once running, API documentation is available at http://localhost:3000/api-docs.
Key features of MCP Adobe Experience Platform Server
- Schema Management (list and create schemas)
- Dataset Operations (list and create datasets)
- Segment Management (list and create segments)
- Data Ingestion into datasets
- Profile Management (get unified profile by identity)
- Query Service execution
- Destinations Management (list and activate segments)
- Swagger documentation, input validation, and error handling
Use cases of MCP Adobe Experience Platform Server
- Managing customer experience data schemas programmatically
- Automating dataset creation and data ingestion into AEP
- Creating and activating audience segments to destinations
- Querying AEP data and retrieving unified customer profiles
- Providing a RESTful wrapper around AEP APIs for custom applications
FAQ from MCP Adobe Experience Platform Server
What are the prerequisites to run the server?
Node.js v14 or higher, npm or yarn, an Adobe Experience Platform account with API access, and an Adobe Developer Console project with AEP integration.
What environment variables are required?
The .env file must include PORT, AEP_BASE_URL, AEP_CLIENT_ID, AEP_CLIENT_SECRET, and AEP_ORG_ID.
Does the server include API documentation?
Yes, once running, Swagger documentation is available at http://localhost:3000/api-docs.
What kind of error handling does the server provide?
Comprehensive error handling for Adobe API errors, connection issues, validation errors, and internal server errors.
Can I run the server in development mode?
Yes, use npm run dev for development, and npm test to run the test suite.
More Other MCP servers
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
Unity MCP ✨
justinpbarnettUnity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
Core Philosophy: Connect, Unify, Respond
mindsdbDelegate anything. It comes back done.
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Comments