Aptabase MCP. Track Every App Interaction and User Behavior
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send_event sends structured telemetry data, custom app events, and system metadata directly to Aptabase. It lets your AI agent track how users interact with mobile or desktop apps, capturing everything from button clicks to purchase completions using a privacy-first approach.
What your AI agents can do
Send event
Processes an app usage event by sending structured data, including custom properties, to Aptabase.
Send custom events for specific user interactions, such as app launches or feature usage.
Capture structured data points like purchase amounts or plan names when a transaction completes.
Automatically attach device and software information (like OS version or app build) to every event sent.
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Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Aptabase (Mobile Analytics) - 1 Tool
Use the available tools to send structured app usage data, including custom events and system metadata, to Aptabase.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Aptabase (Mobile Analytics) on Vinkius019e3866send event
Processes an app usage event by sending structured data, including custom properties, to Aptabase.
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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.
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Make Your AI Do More
Start with Aptabase (Mobile Analytics), then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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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 1 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The pain of manual event validation today
Right now, validating app behavior is tedious. You have to build complex test cases in your development environment, run them manually, and then copy-paste notes into a spreadsheet or use simple console logs. If you miss one click or forget to record the version number, the whole data point is worthless.
With this MCP, that process vanishes. Your agent handles the payload complexity for you. You just ask it to log the event—for example, 'log a successful checkout'—and the system automatically captures the required details: the timestamp, the specific properties (like price), and the device metadata.
Using send_event for reliable app analytics
You eliminate the manual steps of writing boilerplate SDK code just to test a single button. You don't have to worry about formatting JSON payloads or remembering which system variables you needed to pass along with an event.
Now, data logging is conversational. Tell your agent what happened, and it handles converting that simple instruction into a fully structured, reliable telemetry record in Aptabase.
What you can do with this MCP connector
Need to know if the new checkout button actually gets clicked? This MCP connects your app's behavior data to Aptabase. Instead of building out complex analytics dashboards and manually checking logs, you talk to your agent. You can ask it to track specific actions—like when a user starts using an app or when they hit 'submit.' It sends everything structured: the event name, which OS version was used, and any custom details, like what subscription plan they were viewing.
This capability means you verify product performance without ever touching the SDK. You can simulate complex user journeys—tracking a purchase completion followed by an account update—all through conversation. Since Aptabase is built with privacy in mind, it's a solid alternative to common tracking services. When your agent connects this MCP via Vinkius, you get immediate access to reliable, structured performance data that tells you exactly what users are doing.
019e3866-2320-7326-8117-31dd82aa97b1 
How Aptabase MCP Works
- 1 First, subscribe to this MCP and enter your unique Aptabase App Key.
- 2 Next, prompt your AI client with the specific data you want tracked (e.g., 'Send a purchase event for $29.99 on iOS').
- 3 The agent formats the payload and sends it; you'll get confirmation that the telemetry data was successfully recorded in Aptabase.
The bottom line is, your AI client takes raw instructions about app behavior and converts them into structured analytics reports for you.
Who Is Aptabase MCP For?
This MCP is critical for anyone who needs to validate product usage without building a full monitoring suite. It’s for the Product Manager who wants proof of concept data, the QA Engineer needing automated test logging, and the Mobile Developer testing payloads before writing any code.
Wants to know if users are actually reaching the settings page or abandoning checkout. They use this MCP to simulate complex user flows and validate key conversion points.
Needs to verify that every new button or feature correctly triggers its corresponding analytics event across different OS versions and locales.
Uses this MCP in development environments to quickly test telemetry payloads and event triggers without needing to compile a full SDK build for testing.
What Changes When You Connect
- Verify Purchase Flows: Instead of just guessing, you can track exact events like
purchase_completedand include properties for the plan name or dollar amount every time. - Test Across Devices: You capture detailed system metadata. This means you know if an event happened on iOS 17 versus Windows 11, giving precise segmentation data.
- Fast Development Cycles: Developers can test telemetry payloads immediately through conversation; no manual SDK integration is required just to validate a trigger.
- Privacy-First Data: You collect the necessary behavioral metrics without relying on services that compromise user trust. Aptabase keeps your data secure.
- Granular Behavior Tracking: By attaching flat JSON objects, you can capture deep user behavior and business metrics far beyond simple clicks.
Real-World Use Cases
Investigating a drop in sign-ups
A Product Manager notices conversion rates dropped after the last update. They prompt their agent: 'Send an event for app_started, but only if the system metadata shows Android 12.' This quickly isolates whether the problem is specific to one OS version.
Validating a new subscription feature
A Developer adds a premium tier. They use the agent to run multiple send_event calls, simulating 'purchase_completed' for various plan names and amounts (e.g., 'premium: $9.99'). This confirms the event structure handles all expected variations.
Checking desktop app reliability
A QA Engineer needs to ensure data logging works on a Windows machine. They ask the agent to log an event named 'sync_started' specifically for the current application version and OS build, confirming system metadata is correct.
Mapping user journey through onboarding
A PM wants to see if users are skipping crucial steps. They instruct their agent to track a sequence of events—app_started, followed by button_clicked: tutorial, and finally feature_viewed: dashboard. This maps the actual flow.
The Tradeoffs
Manual QA testing
Manually going through the app, clicking every button, and hoping you didn't miss a step. Then, trying to correlate those manual notes with your analytics dashboard.
→
Instead of guessing, use send_event. Your agent sends structured events for every click or action, guaranteeing that all necessary telemetry is logged automatically.
Logging everything in raw console text
Just dumping unstructured strings like 'user clicked X on Y OS' into a simple log file. This data is useless for filtering and analysis.
→
Use send_event to pass structured events with specific properties and system metadata. The data becomes immediately queryable, not just readable.
Forgetting custom properties
Logging 'purchase' but forgetting to include the amount or the plan name. You know a sale happened, but you don't know if it was $10 or $100.
→
Always pass detailed JSON objects as properties when calling send_event. This captures the necessary business context for every event.
When It Fits, When It Doesn't
Use this MCP if your main goal is understanding what users do in your app—i.e., tracking behavior, usage patterns, and conversions. The single send_event tool is perfect for logging telemetry data because it's simple, reliable, and highly structured. Don't use it if you need real-time actions; this MCP only sends data to be read later. If you need the agent to do something in response (like sending an email or updating a database), you need an action-oriented tool, not just a data logging one.
Common Questions About Aptabase MCP
How do I use the send_event tool with different device types? +
You include the specific OS name and version number directly in your prompt when calling send_event. This ensures every recorded event is properly segmented by device type.
Does send_event only track basic clicks? +
No. You can attach detailed, custom JSON properties to any event. This lets you track complex metrics like 'subscription plan: pro' and 'amount: 19.99,' not just simple button clicks.
What kind of data is best for send_event? +
It works best with user journey events—things that happen sequentially, like app start -> view product -> add to cart -> purchase_completed. Use the tool to map these flows.
Is sending an event asynchronous using send_event? +
Yes, send_event processes events asynchronously. You get confirmation that the data was received by Aptabase, but the actual processing happens in the background, keeping your workflow fast.
What credentials do I need to set up `send_event` for my project? +
You must provide your Aptabase App Key. This key authenticates your data source and ensures the event payload gets routed correctly to your specific analytics project.
Can I send complex, nested JSON data using `send_event`? +
Yes, you can include custom properties as flat JSON objects. This structure lets you capture granular user behavior and business metrics that go beyond simple key-value pairs.
What happens if `send_event` fails because of a temporary network interruption? +
The tool is built for asynchronous processing, which helps manage temporary failures gracefully. This design minimizes the chance of losing critical telemetry data during an interrupted call.
Does `send_event` automatically include system metadata like OS version and locale? +
Yes, you pass detailed system information such as the OS name, app version, and locale. This is vital for accurate segmentation when reviewing your analytics data.
Can I send custom metadata with my events? +
Yes! Use the props field in the send_event tool to provide a JSON object with key-value pairs representing your custom properties.
Is it possible to track the specific OS version? +
Absolutely. The send_event tool requires osName and osVersion parameters to ensure your telemetry is correctly segmented in the Aptabase dashboard.
Can I use this for self-hosted Aptabase instances? +
Yes, you can optionally provide a baseUrl in the configuration to point the MCP server to your own self-hosted Aptabase instance.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.