How to Use the AppLovin MCP in Cline

Q: Can Cline read my AppLovin MAX cohort data?

Your agent executes getmaxcohortreport to pull retention metrics. It then writes the visualization code to plot that data locally.

Q: How does Cline verify my AppLovin connection?

The agent runs getaccountcheck before attempting any complex data pulls. This confirms the API keys are valid and prevents execution errors midway through a task.

Let Cline fetch AppLovin ad revenue data and build custom dashboards inside VS Code.

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Connect AppLovin MCP to Cline

Create your Vinkius account to connect AppLovin to Cline 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 Cline

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Build monetization dashboards with Cline

The `get_max_report` tool allows Cline to fetch live mediation performance metrics directly into VS Code. You tell the agent to build an admin panel, and it pulls real columns, start dates, and end dates to populate the UI. Your agent doesn't just write mock data. It calls `list_apps` to get your actual portfolio, writes the React components, and wires up the API calls to display your live ad network stats.

Automate AppLovin campaign tracking

Cline connects to the MCP server and executes `list_campaigns` to grab active user acquisition setups from the management API. It reads the specific IDs and configurations currently running on your account. After identifying the targets, it runs `get_app_discovery_report` to pull the performance numbers. You can ask the agent to write a Node script that alerts your Slack channel when install costs exceed a specific threshold.

Process user revenue via MCP Server

Accessing impression-level data requires the `get_user_ad_revenue_report` tool. Cline triggers this to pull granular monetization records straight into your local environment. Building LTV prediction models becomes much faster. The agent fetches the raw revenue data, chains it with `get_max_cohort_report`, and writes the exact Python pandas code needed to clean and analyze the dataset.

Setup guide

Set up AppLovin MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type applovin-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest AppLovin refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "applovin-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 AppLovin. 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 AppLovin MCP in Cline

Click the server icon in the sidebar and navigate to the Remote Servers tab. Paste your Vinkius HTTP transport URL to connect immediately.

Your agent executes `get_max_cohort_report` to pull retention metrics. It then writes the visualization code to plot that data locally.

It builds automated bid adjusters, custom LTV dashboards, and mediation waterfall analyzers. The agent uses live API data to test the code it writes.

The agent runs `get_account_check` before attempting any complex data pulls. This confirms the API keys are valid and prevents execution errors midway through a task.

Vinkius manages the authentication layer through a zero-trust architecture. Your granular impression logs and user acquisition spend are accessed via a temporary, single-use token that grants no permanent access to your local machine.

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