How to Use the Adobe Customer Journey Analytics (CJA) MCP in Google ADK

Q: How do I connect my Google ADK agent to Adobe Customer Journey Analytics (CJA)?

You instantiate an McpToolset with the Vinkius server URL and pass it to your LlmAgent constructor. The ADK handles the rest, making the CJA tools available to your agent.

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Connect Adobe Customer Journey Analytics (CJA) MCP to Google ADK

Create your Vinkius account to connect Adobe Customer Journey Analytics (CJA) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Adobe Customer Journey Analytics (CJA) with Google ADK

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Feed Adobe CJA Reports into BigQuery

This is the most direct way to get your Adobe journey data into Google Cloud. Have your agent use `get_report` to pull a fresh report from CJA. From there, it can write the results straight into a BigQuery table. It bridges the gap between your Adobe analytics and your GCP data warehouse. A Gemini model with long-context can then analyze the full report alongside your other enterprise data, all within the same environment.

Explore CJA Schemas On The Fly

Your Google ADK agent doesn't need hardcoded report definitions. It can ask CJA what's available first. The agent uses `list_data_views` to get a directory, then drills down with `get_data_view_dimensions` and `get_data_view_metrics`. Based on what it finds, the agent can construct a new, relevant report request on the spot. This is perfect for building agents that respond to high-level questions about your customer data, using the full reasoning power of Gemini.

A CJA Toolset for your Google ADK Agent

This MCP server makes Adobe CJA feel like another native Google Cloud service. Your agent can list AEP connections with `list_connections` or check available filters with `list_filters`. It's all done through a standard `McpToolset`. You can build agents that coordinate work across both platforms. For instance, an agent could check for a specific filter in CJA before kicking off a data pipeline in Google Cloud.

Setup guide

Set up Adobe Customer Journey Analytics (CJA) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Adobe Customer Journey Analytics (CJA) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Adobe Customer Journey Analytics (CJA)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Adobe Customer Journey Analytics (CJA) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Adobe CJA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Adobe Customer Journey Analytics (CJA) MCP in Google ADK

You instantiate an `McpToolset` with the Vinkius server URL and pass it to your `LlmAgent` constructor. The ADK handles the rest, making the CJA tools available to your agent.

Yes, that's a primary use case. The agent fetches the report data via this MCP toolset, and you can then feed that data directly into a Gemini model for summarization, analysis, or transformation.

The most common goal is getting CJA report data into BigQuery. This allows you to join your Adobe customer journey insights with other business data you already have stored in the Google Cloud ecosystem.

No. You get a single Vinkius endpoint token. That's all your agent needs to connect. We manage the OAuth complexities with the Adobe API on the backend.

Data is streamed directly to your agent. Vinkius isolates each request in a dedicated sandbox and doesn't store your CJA report data, connection lists, or filter definitions. The data passes through; it never rests.

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