How to Use the Adobe Analytics MCP in Mastra AI

Q: How do I add Adobe Analytics to a Mastra AI workflow?

Install @mastra/mcp@latest and create a new MCPClient using your Vinkius URL. Mastra auto-detects the Streamable HTTP transport for the MCP connection.

Q: Do I need to manually configure the tools?

No. Calling listTools() grabs everything from the MCP Server. You just spread that array into your agent setup.

Q: How does Mastra AI handle Adobe Analytics segment approvals?

You set requireToolApproval on specific tools. Workflows pause when the agent tries to pull sensitive segments, waiting for your manual green light.

Build resilient Adobe Analytics workflows with Mastra AI and automatic error recovery.

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Connect Adobe Analytics MCP to Mastra AI

Create your Vinkius account to connect Adobe Analytics 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 Analytics with Mastra AI

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Automate Complex Report Extraction

Workflows trigger `get_report` to pull historical traffic data on a schedule. Mastra AI handles the execution graph. If the Adobe API throttles the request, the framework applies exponential backoff and tries again. Reliable data pipelines happen without writing custom retry logic. Spreading `mcpClient.listTools()` directly into your agent's configuration is all it takes. The agent decides when to run the report based on previous steps in the chain, like waiting for a marketing campaign to finish before pulling the numbers.

Audit Report Suites with Mastra AI

Running `list_report_suites` gives your workflow the baseline context it needs to start digging. The agent checks available suites, then dynamically branches its logic based on what it finds. Missing regional suites trigger an admin alert instead of crashing the process. This MCP Server feeds structured JSON straight into Mastra's state machine. Every step knows exactly which suites exist, allowing conditional steps to route queries to the correct destination.

Sync Audience Segments

Your agent executes `list_segments` to grab the latest audience definitions before running a targeted analysis. It maps these segments against the available metrics pulled from `get_metrics`. The workflow combines these data points to build complex audience profiles automatically. Human-in-the-loop approvals work perfectly here. You can configure Mastra to pause the workflow after fetching the segments, requiring a manager's click before the agent generates the heavy reports.

Setup guide

Set up Adobe Analytics 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 Analytics 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-analytics-mcp-client",
  servers: {
    "adobe-analytics-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Adobe Analytics. 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 Analytics MCP in Mastra AI

Install `@mastra/mcp@latest` and create a new `MCPClient` using your Vinkius URL. Mastra auto-detects the Streamable HTTP transport for the MCP connection.

Yes. Built-in workflow engines automatically apply exponential backoff if the Adobe API drops the connection. You never lose a report pull due to temporary network blips.

No. Calling `listTools()` grabs everything from the MCP Server. You just spread that array into your agent setup.

You set `requireToolApproval` on specific tools. Workflows pause when the agent tries to pull sensitive segments, waiting for your manual green light.

Nobody outside your organization. The MCP environment operates with zero-trust architecture. Custom metrics and evars pass straight to your infrastructure and vanish from Vinkius immediately.

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