How to Use the Digital Turbine MCP in Mastra AI

Q: How do I check my account limits using this setup?

Your agent can call getplatformmetadata within any workflow. This lets you monitor API limits and account configurations dynamically, preventing your automated pipelines from hitting rate limits.

Build autonomous Mastra AI workflows that monitor Digital Turbine monetization and adjust ad campaigns when performance drops.

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Connect Digital Turbine MCP to Mastra AI

Create your Vinkius account to connect Digital Turbine 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 Digital Turbine with Mastra AI

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Automated campaign adjustment via Mastra AI

Your Mastra workflows use `list_growth_campaigns` to scan your entire mobile portfolio and identify active campaigns with this MCP Server. Connect your workflow engines directly to your ad operations. When a campaign underperforms, the workflow triggers automated alerts. By checking `get_campaign_analytics`, the system evaluates if the current click-through rates meet your target thresholds before executing the next step.

Fault-tolerant monetization monitoring

This server exposes `list_monetized_apps` to let your agent verify which platforms are actively generating revenue. Build resilient pipelines that don't break when an API hiccup occurs. Mastra handles retries automatically while your agent checks your app portfolio. If a specific platform shows anomalies, the system dives deeper. It runs `get_app_monetization_details` to verify ad unit configurations, logging any discrepancies to your team's Slack channel.

Scheduled revenue reporting pipelines

Your agent runs `get_revenue_report` to compile exact financial performance figures for automated pipelines using the MCP protocol. Set up cron-style workflows that compile earnings reports every night. The workflow then runs `list_top_performing_apps` to rank your portfolio. It packages this data and sends a clean summary straight to your finance team without any manual intervention.

Setup guide

Set up Digital Turbine 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 Digital Turbine 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: "digital-turbine-mcp-client",
  servers: {
    "digital-turbine-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Digital Turbine 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 Digital Turbine. 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.

Why Choose Vinkius

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Common questions about Digital Turbine MCP in Mastra AI

Instantiate the MCP client using your Vinkius HTTP URL. Then, call mcpClient.listTools() and spread those tools directly into your Mastra agent's tool array so it can immediately run commands like `get_performance_summary`.

While this server focuses on read and analysis tools, your Mastra workflows can use `list_high_engagement_campaigns` to identify poor performers. You can branch your workflow to notify your team when a campaign falls below your engagement benchmarks.

Yes. You can configure Mastra's requireToolApproval setting on sensitive tools like `get_revenue_report`. This ensures an admin must manually approve the action before the agent accesses financial reports.

Your agent can call `get_platform_metadata` within any workflow. This lets you monitor API limits and account configurations dynamically, preventing your automated pipelines from hitting rate limits.

Your campaign IDs and monetization settings never sit on third-party servers. All requests go through Vinkius's zero-trust V8 sandbox, which executes the MCP Server in an isolated, ephemeral environment. Your raw API keys are never exposed to the agent framework.

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