Tara Meyer
Most developers and mobile marketers already use AI in their day-to-day workflows. Some developers even vibe code apps with Claude Code or Cursor. However, when it comes to analyzing data, it becomes difficult. Mobile teams end up pasting different screenshots and tables from dashboards into chat windows, then wait for those dancing dots to piece things together.
It’s a reasonable approach, but getting useful feedback isn’t a guarantee. It doesn’t provide a holistic view. It’s also hard to scale.
The Problem: The Gap Between Your Tools
The issue isn’t that your UA data can’t be found. The bottleneck is accessing it in a way that preserves context. You should be able to connect spend, attribution, delivery, retention, and revenue into a single coherent explanation.
Inside Tenjin, your UA performance already lives in one ecosystem. However, when you use AI the “screenshot-and-paste” way, the model only sees a slice of data you pasted. It forces you into a manual loop.
Even though Tenjin already provides the whole picture, your AI model provides a fragmented experience: follow-up questions are slow, manual, and often incomplete.
This is where Tenjin’s MCP Server comes in.
The Solution: Tenjin’s MCP Server Bridges the Gap
What Is an MCP Server?
MCP stands for Model Context Protocol. An MCP Server connects AI assistants like Claude Code or Cursor directly to your real data, so the AI isn’t just working off general knowledge or reading pixels from a screenshot. It’s querying actual campaign metrics, attribution data, and performance trends.
With Tenjin’s MCP Server, the assistant can query Tenjin’s mobile analytics data directly. These underlying data spans across all the relevant dimensions and time ranges. As a result, you can ask questions and get answers grounded within Tenjin’s holistic ecosystem.
In other words, the Tenjin MCP Server operates on the full data set that already lives within the Tenjin Dashboard.
How Tenjin’s MCP Server Works
Since Tenjin already aggregates your UA data (ad spend, attribution, revenue, cohort metrics) across channels into a single platform, our MCP Server doesn’t have to re-aggregate and shift data somewhere else because it already exists within Tenjin. That means Tenjin’s MCP Server acts as an extension of your data, so data becomes more accessible.
Built for Your Workflow
If you’re already using AI, this is the next logical step. Tenjin’s MCP Server fits directly into your workflow:
If you already let AI help you write code, this goes the extra step: it allows you to understand your growth.
Quem deve utilizar isto?
Tenjin’s MCP Server is built with developers in mind. However, each team member can benefit differently:
- Developers handling their own UA can get fast answers without dashboard fatigue
- Product managers can get quick clarity on KPIs like retention and ARPU
- Developers can check campaign stats or in-game events directly from their IDE
- Analysts can iterate faster, using AI to explore ideas before building custom dashboards
- Teams without a dedicated data analyst can get the insights they’d otherwise miss
- Anyone relying on the screenshot-and-paste workflow and wishing AI could see and analyze across your entire data in Tenjin.
Actionable Insights, Faster
User Acquisition doesn’t have to mean jumping between windows, screenshots, and stitching together data by hand. In Tenjin, your data is already unified; our MCP Server makes it more accessible. That means better responses, faster follow-ups, and answers based on the whole picture, not a slice of your stats.
We believe your data is meant to be connected, not locked in silos. That’s why we made this feature: to bring you a solution and deliver it to where you’re already working.
Como começar
Tenjin’s MCP Server is available now. Read our documentation to help you get started.
If you want to integrate it into your workflow or have questions about access or setup, reach out to us at support@tenjin.com.
