How to Use the AppLovin MCP in Windsurf

Q: How do I configure the AppLovin MCP server in Windsurf?

Open your MCP settings panel or edit /.codeium/windsurf/mcpconfig.json. Add the Vinkius endpoint URL under the mcpServers object and click refresh.

Q: Can Windsurf pull AppLovin user acquisition stats?

Yes, Cascade calls listcampaigns followed by getappdiscoveryreport. It reads your live UA spend and install metrics directly into your workspace.

Q: Does Windsurf support cohort analysis through AppLovin?

Cascade uses the getmaxcohortreport tool to fetch retention and LTV data. It formats that data into a markdown table or injects it straight into a Jupyter notebook.

Give Windsurf direct read access to your AppLovin ad revenue and user acquisition campaigns.

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Connect AppLovin MCP to Windsurf

Create your Vinkius account to connect AppLovin to Windsurf 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 Windsurf

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Pull MAX mediation reports into Windsurf

The `get_max_report` tool pulls aggregated mediation data directly into your editor context. Cascade sets the date ranges and specific columns you need to analyze ad performance without leaving your codebase. You ask for a revenue breakdown by network. Cascade chains that request with `get_max_cohort_report` to compare retention metrics across different user segments, letting you build custom dashboards or scripts based on live data.

Track AppDiscovery campaigns via MCP Server

Your agent uses `get_app_discovery_report` to read performance data from your user acquisition efforts. It checks spend, installs, and conversion rates against your active targets. Instead of exporting CSVs from the dashboard, Cascade grabs the raw numbers. It maps that data to the specific apps found using `list_apps`, letting you write automated bid adjustment scripts fast.

Audit impression-level revenue data

Fetching granular monetization data happens through the `get_user_ad_revenue_report` tool. This operation returns revenue metrics aggregated down to the individual user or impression level. Cascade reads this data to help you debug mediation waterfalls or build custom server-side LTV models. It runs `get_account_check` first to confirm API access, then pulls exactly the impression data your data science logic requires.

Setup guide

Set up AppLovin MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the AppLovin MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my AppLovin payment history." If connected, Cascade will call the AppLovin tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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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 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 Windsurf

Open your MCP settings panel or edit `~/.codeium/windsurf/mcp_config.json`. Add the Vinkius endpoint URL under the `mcpServers` object and click refresh.

Yes, Cascade calls `list_campaigns` followed by `get_app_discovery_report`. It reads your live UA spend and install metrics directly into your workspace.

You skip the manual CSV exports. Your agent reads the live data and writes the exact Python or Node scripts you need to process it.

Cascade uses the `get_max_cohort_report` tool to fetch retention and LTV data. It formats that data into a markdown table or injects it straight into a Jupyter notebook.

The connection relies on a V8 Isolate Sandbox hosted by Vinkius. Your ad revenue figures, impression logs, and campaign spend stay isolated in an ephemeral environment that shuts down immediately after the API call finishes.

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