AppLovin MCP. Run complex ad performance reports via natural conversation.
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AppLovin MCP Server. Get performance data for AppLovin and MAX mediation platforms. Use your AI client to track revenue, impressions, and user acquisition metrics instantly.
It lets you run complex reports—like cohort analysis or user-level revenue breakdowns—using natural language, skipping manual dashboard exports.
What your AI agents can do
Get account check
Verifies your connection and status within your AppLovin account.
Get app discovery report
Pulls performance metrics for your User Acquisition (UA) campaigns from AppDiscovery.
Get max cohort report
Generates cohort reports to analyze user retention and long-term value within MAX.
Retrieve aggregated data for your MAX mediation, providing metrics like revenue, impressions, and eCPM.
Pull granular revenue data aggregated either by a specific user ID or by the individual ad impression.
Run MAX cohort reports to track how long users stick around and their long-term value.
Get performance data for your User Acquisition (UA) campaigns via AppDiscovery.
Retrieve a list of every app currently tracked within your AppLovin account.
Get a list of all active User Acquisition campaigns from the management API.
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AppLovin MCP Server: 7 Tools for Ad Performance Metrics
Use these tools to run specific reports, check inventory, and analyze AppLovin and MAX performance data directly through your AI client.
019d7550get account check
Verifies your connection and status within your AppLovin account.
019d7550get app discovery report
Pulls performance metrics for your User Acquisition (UA) campaigns from AppDiscovery.
019d7550get max cohort report
Generates cohort reports to analyze user retention and long-term value within MAX.
019d7550get max report
Retrieves aggregated performance data for MAX mediation using specified date ranges and metrics.
019d7550get user ad revenue report
Gets revenue data, aggregated either per user ID or per individual ad impression.
019d7550list apps
Lists all the apps currently being tracked in your AppLovin account.
019d7550list campaigns
Lists all active UA campaigns managed through the AppLovin management API.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AppLovin, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your AI client hooks straight into your AppLovin and MAX mediation data. Forget jumping between dashboards and exporting spreadsheets. You just ask your agent, and it pulls the report. You'll use get_account_check to verify your connection and AppLovin account status. You can list every app being tracked with list_apps, and you'll see all active User Acquisition campaigns by running list_campaigns.
To track how your users stick around and what they're worth long-term, you'll generate MAX cohort reports using get_max_cohort_report. Need a high-level view of your MAX mediation? You'll pull aggregated performance data, including revenue, impressions, and eCPM, with get_max_report. You can get revenue data either per user ID or for every single ad impression using get_user_ad_revenue_report.
To check out your User Acquisition campaigns, you'll pull performance metrics from AppDiscovery using get_app_discovery_report. These tools let you run complex reports—like user-level revenue breakdowns or cohort analysis—using natural language, skipping manual dashboard exports.
How AppLovin MCP Works
- 1 Tell your AI agent what report you need (e.g., 'What was the MAX revenue for last week?').
- 2 The agent translates that request into the correct tool call (e.g.,
get_max_report). - 3 The server runs the tool, connects to AppLovin, and returns the structured data to your agent for a natural language summary.
The bottom line is you ask a question in plain English, and the system handles the complex API calls and data aggregation for you.
Who Is AppLovin MCP For?
The Ad Ops Manager who's tired of manual dashboard exports. The UA Specialist who needs to check campaign spend across AppDiscovery quickly. The Growth Engineer who needs user-level revenue and cohort data to figure out long-term ROI. If you spend more time gathering data than analyzing it, this is for you.
Audits monetization performance and eCPM trends across MAX without manually downloading and comparing multiple dashboard reports.
Monitors campaign spend and performance across AppDiscovery, checking performance against budget targets on demand.
Analyzes user-level revenue and cohort data to test hypotheses about long-term retention and campaign effectiveness.
What Changes When You Connect
- MAX Performance Audits: Instead of exporting a dozen MAX dashboards, you ask for the aggregated performance data, getting revenue, impressions, and eCPM instantly via
get_max_report. - Deep User Analysis: You can get revenue reports broken down by a single user or impression using
get_user_ad_revenue_report. This lets you pinpoint exactly where revenue is coming from, which is impossible with high-level dashboards. - Retention Modeling: Use
get_max_cohort_reportto track user retention over months. You see Day 1 vs. Day 7 retention rates without running a separate, complex report in the UI. - UA Campaign Oversight: Check campaign spend and performance using
get_app_discovery_report. Keep tabs on UA efforts without navigating the AppDiscovery dashboard. - Inventory Control: Need to know what you're tracking? Use
list_appsorlist_campaignsto quickly list all active inventory and campaigns in the account. - Audit Readiness: The server uses multi-key authentication, ensuring you get a full, reliable set of tools for auditing monetization performance.
Real-World Use Cases
Diagnosing a sudden drop in eCPM.
A manager notices eCPM dropped last week. They ask their agent: 'What was the MAX report for last week, and how did it compare to the two weeks before?' The agent runs get_max_report and compares the data, immediately showing the drop and the associated impressions.
Calculating LTV for a new user group.
A growth engineer wants to know the long-term value of users acquired in June. They prompt: 'Give me the cohort report for June.' The agent runs get_max_cohort_report, providing the Day 1 and Day 7 retention rates necessary for LTV calculation.
Checking campaign status before a meeting.
A UA specialist needs to review the status of 15 campaigns before a meeting. They ask: 'List all active campaigns.' The agent runs list_campaigns and returns the full list, saving them from manually clicking through the campaign management UI.
Attributing revenue to a specific user.
A product manager suspects a high-value user is undercounted. They ask: 'Show me the revenue for user ID 12345.' The agent runs get_user_ad_revenue_report and provides the exact revenue figure, allowing for immediate investigation.
The Tradeoffs
Forgetting to check connectivity
Running a complex report like get_max_report and getting a vague error message, forcing you to guess if the API key or connection is the problem.
→
Always run get_account_check first. This verifies the connection status and confirms the system is ready before you start pulling large data sets.
Comparing reports manually
Running get_max_report for Q1, then logging into the dashboard and running it again for Q2, then manually compiling the differences in a spreadsheet.
→ Ask your agent to compare the two. Prompt: 'Compare the MAX report from Q1 to Q2.' The agent runs the tool twice and generates a comparative analysis for you.
Overlooking app inventory
Focusing only on campaign performance (get_app_discovery_report) and forgetting which apps are actually being tracked, leading to blind spots in reporting.
→
Use list_apps first. This confirms the full scope of apps being monitored before you dive into performance metrics.
When It Fits, When It Doesn't
Use this server if your job requires linking together multiple metrics (e.g., comparing campaign spend to user-level revenue) without leaving your AI client. It’s perfect for ad ops teams who need to audit performance and track user journeys. Don't use it if you simply need to visualize a massive, static dataset—a dedicated BI dashboard is still better for that. If you just need to know what campaigns exist, list_campaigns does that. If you need deep LTV analysis, use get_max_cohort_report in combination with get_user_ad_revenue_report to get a full picture.
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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through ad dashboards is a massive time sink.
Right now, checking your ad performance means jumping between the MAX dashboard, the AppDiscovery reports, and the campaign list. You export a CSV from one place, open another tab to check eCPM, and then copy-paste data into a spreadsheet to figure out the story. It takes an hour just to gather the raw numbers.
With the AppLovin MCP Server, you just talk to your agent. You ask, 'What was the MAX revenue last week?' and it runs the necessary `get_max_report` call, pulling the data and giving you the clean answer immediately. No tabs, no exports, just the insight.
AppLovin MCP Server: Get User-Level Revenue Reports
The pain point is that standard reports only show totals. You can't easily isolate the revenue for a single user or even a single impression without digging deep into complex filters. You spend time trying to manually filter massive sheets to confirm if User X contributed $50 or $500.
The `get_user_ad_revenue_report` tool solves this. You tell your agent to run it for a specific user or impression, and it gives you that precise number right away. You stop guessing and start knowing.
Common Questions About AppLovin MCP
How do I check my AppLovin account connection using get_account_check? +
Running get_account_check confirms your AppLovin account connection status. It's the first thing you should do to verify that your AI agent can access the data before running any big reports.
Can I get MAX revenue data for a custom date range with get_max_report? +
Yes, get_max_report accepts start and end parameters. You can specify exact date ranges, which is key for comparing performance across different periods.
Does get_user_ad_revenue_report track revenue by user or impression? +
It tracks both. You can ask the agent to aggregate revenue either per user or per individual ad impression, giving you the most granular view possible.
What is the best tool for tracking long-term user value? +
Use get_max_cohort_report. This tool specifically generates cohort reports, letting you track user retention and lifetime value over time.
How do I check which apps are tracked in my AppLovin account using list_apps? +
list_apps lists all apps tracked in your account. This helps you confirm which apps are included in your reports, which is key for accurate monetization analysis.
Can I see all the active user acquisition campaigns with list_campaigns? +
list_campaigns pulls all active UA campaigns from the management API. This gives you a quick overview of what's running, so you know exactly what data is available for performance review.
What parameters do I use when running get_app_discovery_report? +
The get_app_discovery_report tool accepts parameters for date ranges and campaign filters. You specify these details to narrow down the performance data for AppDiscovery campaigns.
Does get_max_cohort_report provide retention data for specific user segments? +
Yes, get_max_cohort_report analyzes user retention over time. You can configure it to focus on specific user groups, allowing deep dives into long-term user value.
Where do I find my AppLovin API keys? +
You can find your Report Key and Management Key in the AppLovin dashboard under Account > Keys.
What is the difference between the Report Key and Management Key? +
The Report Key is used for read-only access to performance data, while the Management Key is required for making changes to campaigns and ad units.
How often is user-level data updated? +
User-level ad revenue data is typically available approximately 8 hours after the end of the UTC day.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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