How to Use the Adobe Customer Journey Analytics (CJA) MCP in Mastra AI

Build automated Mastra AI workflows that react to Adobe Customer Journey Analytics (CJA) data changes.

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Connect Adobe Customer Journey Analytics (CJA) MCP to Mastra AI

Create your Vinkius account to connect Adobe Customer Journey Analytics (CJA) to Mastra AI 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 Mastra AI

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Mastra AI handles CJA data flows

Set up workflows that trigger whenever you need to check `list_data_views`. Mastra AI manages the retries if the connection drops, keeping your journey analysis running. This MCP Server provides the tools to bridge your analytics directly into agent logic. Define your steps and let the workflow engine handle the execution.

Conditional logic for CJA reports

Run `get_report` based on specific triggers inside your agent flow. If a metric hits a threshold, your Mastra AI agent can automatically fetch the latest journey data. Conditional branching ensures you only pull data when necessary. It keeps your API usage efficient while giving your agents the context they need to make decisions.

Manage AEP connections with Mastra AI

Use `list_connections` to keep your agent aware of the available data sources. It ensures your workflow always points to the right AEP environment. Automating the discovery of data views means your agents adapt to changes without manual configuration updates. It builds a self-healing pipeline for your analytics.

Setup guide

Set up Adobe Customer Journey Analytics (CJA) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Adobe Customer Journey Analytics (CJA) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "adobe-customer-journey-analytics-cja-mcp-client",
  servers: {
    "adobe-customer-journey-analytics-cja-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Adobe Customer Journey Analytics (CJA) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Adobe Customer Journey Analytics (CJA) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Adobe Customer Journey Analytics (CJA) transactions"
);
console.log(result.text);

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 Mastra AI

Register the server URL in your agent configuration. Once connected, spread the tools into your agent definition to grant access.

Absolutely, just wrap the report tool in a workflow step. You can even set it to retry if the initial request fails.

Yes, you can require human intervention before the agent runs any tool. This keeps you in control of your data requests.

The agent receives the tool output as a structured object. You can then parse that object to trigger further actions or notifications.

The MCP Server runs in an ephemeral Vinkius sandbox. Your journey event logs are isolated from other processes and cleared after the session ends.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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