What is a Data View in CJA?

A Data View is a container in CJA that lets you determine how to interpret data from a Connection. It's where you define your dimensions and metrics for reporting.

How do I find my IMS Organization ID?

Log in to the Adobe Experience Cloud, go to **Administration** > **Organizations**, or check your project settings in the Adobe Developer Console. It usually looks like 'XYZ@AdobeOrg'.

Can I retrieve offline data through this server?

Yes! If your offline data sources are connected to AEP and configured in a CJA Data View, the `get_report` tool will include them in your analysis.

Adobe Customer Journey Analytics (CJA) MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: Adobe Customer Journey Analytics (CJA)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Adobe Customer Journey Analytics (CJA) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Adobe Customer Journey Analytics (CJA) Assistant",
            instructions=(
                "You help users interact with Adobe Customer Journey Analytics (CJA). "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Adobe Customer Journey Analytics (CJA)"
        )
        print(result.final_output)

asyncio.run(main())

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About Adobe Customer Journey Analytics (CJA) MCP Server

Connect your Adobe Customer Journey Analytics (CJA) account to your AI agent to unlock professional omnichannel insights and data orchestration. From managing connections to AEP datasets to retrieving complex cross-channel reports and auditing data views, your agent handles your journey analytics ecosystem through natural conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from Adobe Customer Journey Analytics (CJA) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Adobe Customer Journey Analytics (CJA), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Omnichannel Reporting — Retrieve cross-channel reports that combine web, app, and offline data in a single request
Data View Management — List and audit metadata for data views, including all available dimensions and metrics
Connection Oversight — List and monitor connections between your CJA environment and Adobe Experience Platform datasets
Filter Orchestration — Manage and list filters (formerly segments) to ensure your analysis is targeted and accurate
Real-time Journey Tracking — Quickly identify customer behavior patterns across multiple touchpoints directly from chat

The Adobe Customer Journey Analytics (CJA) MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Adobe Customer Journey Analytics (CJA) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Adobe Customer Journey Analytics (CJA) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from Adobe Customer Journey Analytics (CJA)

Why Use OpenAI Agents SDK with the Adobe Customer Journey Analytics (CJA) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Adobe Customer Journey Analytics (CJA) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Adobe Customer Journey Analytics (CJA) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Adobe Customer Journey Analytics (CJA) MCP Server delivers measurable value.

Automated workflows: build agents that query Adobe Customer Journey Analytics (CJA), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Adobe Customer Journey Analytics (CJA), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Adobe Customer Journey Analytics (CJA) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Adobe Customer Journey Analytics (CJA) to resolve tickets, look up records, and update statuses without human intervention

Adobe Customer Journey Analytics (CJA) MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect Adobe Customer Journey Analytics (CJA) to OpenAI Agents SDK via MCP:

get_data_view_dimensions

List dimensions for a data view

get_data_view_metrics

List metrics for a data view

get_report

Retrieve an omnichannel report

list_connections

List AEP connections

list_data_views

List CJA data views

list_filters

List journey filters

Example Prompts for Adobe Customer Journey Analytics (CJA) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Adobe Customer Journey Analytics (CJA) immediately.

"List all data views in my CJA account."

"Show me dimensions for data view ID 'dv_12345'."

"List all active filters in my account."

Troubleshooting Adobe Customer Journey Analytics (CJA) MCP Server with OpenAI Agents SDK

Common issues when connecting Adobe Customer Journey Analytics (CJA) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Adobe Customer Journey Analytics (CJA) + OpenAI Agents SDK FAQ

Common questions about integrating Adobe Customer Journey Analytics (CJA) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.