How to Use the AppLovin MCP in Mastra AI

Q: Can I use AppLovin for conditional logic in Mastra AI?

Absolutely, just check the output of getappdiscoveryreport. If the spend exceeds your limit, the agent can stop the campaign automatically.

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Connect AppLovin MCP to Mastra AI

Create your Vinkius account to connect AppLovin 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 AppLovin with Mastra AI

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Mastra AI handles MAX reporting

Create a workflow that triggers `get_max_report` whenever your revenue dips below a threshold. Mastra AI manages the logic, retrying the call if the network blips. If the data points are missing, the agent branches to a notification step. It keeps your reporting logic clean and reliable.

Automate UA oversight in Mastra AI

Set up a recurring task to fetch campaign lists using `list_campaigns`. If a campaign is missing, the agent triggers an alert to your Slack channel. This removes the need for manual checks. Your agent watches the API and only bothers you when something breaks.

Cohort analysis via Mastra AI

Run `get_max_cohort_report` to feed your retention models. You define the logic for how the agent handles the cohort data once it arrives. Mastra AI ensures that every request is logged. You get a clear trail of how your ad performance impacts your user base.

Setup guide

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

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

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

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Common questions about AppLovin MCP in Mastra AI

You import the server tools into your agent definition. Then you just call `get_max_report` within your workflow steps.

The framework handles retries automatically if you configure them in your workflow. It ensures your AppLovin data gets through even if the connection drops.

Absolutely, just check the output of `get_app_discovery_report`. If the spend exceeds your limit, the agent can stop the campaign automatically.

Vinkius manages the secure connection. Your key stays on the server, and the agent only sees the data it requests.

It accesses your MAX mediation stats and UA campaign details. This is all read-only access to your performance reports.

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