# Appfigures MCP for AI Agents MCP

> Appfigures connects your AI client to deep mobile app intelligence for instant performance analysis. Track revenue, downloads, reviews, and competitor rankings across iOS and Google Play using natural language prompts.

## Overview
- **Category:** marketing-automation
- **Price:** Free
- **Tags:** app-store-optimization, mobile-analytics, revenue-tracking, aso, competitor-intelligence, performance-reporting

## Description

Need to know how a new feature impacts your bottom line? This MCP gives your AI agent direct access to the core analytics of your mobile apps. Instead of logging into five different dashboards just to compile a performance review, you simply ask your client a question—like, 'What were our net proceeds from subscriptions last month?' The data comes back structured and ready for action.

It lets you track everything: how many people are downloading the app, where your revenue is coming from, what users are saying about specific bugs, or even if a competitor just jumped up in search rankings. Because this MCP connects through the Vinkius catalog, you can use it with any compatible AI client (Claude, Cursor, Windsurf, and others) without needing separate logins for every service. You're getting comprehensive market insight from one place.

## Tools

### get_account_check
Verifies the connection status of your Appfigures account.

### get_external_accounts
Lists all linked store accounts for consolidated reporting access.

### get_ranks
Pulls daily category and keyword ranking data to track visibility changes.

### get_revenue_report
Generates detailed reports on overall revenue and proceeds from the app stores.

### get_sales_report
Retrieves key sales metrics, including total downloads, updates, and returns.

### get_subscriptions_report
Analyzes subscription data, tracking active subscribers, churn rates, and renewal health.

### get_user_info
Retrieves basic information for the authenticated user associated with the account.

### list_featured
Tracks specific dates and periods when your apps were highlighted or featured on major app stores.

### list_my_products
Provides a list of all mobile applications managed within the Appfigures account.

### list_reviews
Lists recent user reviews for your products, allowing for sentiment analysis.

### search_products
Searches and retrieves data on any mobile app across all supported major stores.

## Prompt Examples

**Prompt:** 
```
How did our subscription revenue perform last quarter compared to the previous one?
```

**Response:** 
```
**Subscription Performance Report: Q2 vs. Q3**

| Metric | Q2 (Millions) |
| :--- | :--- |
| Total Revenue | $14.5M |
| Churn Rate | 6.8% |
| Active Subs | 98,000 |

*Analysis:* We saw a strong jump in total revenue, primarily driven by lower churn rates and successful upsells over the last month. The overall health looks positive.
```

**Prompt:** 
```
What are users complaining about in the latest reviews?
```

**Response:** 
```
**Top 3 User Concerns (Last 14 Days)**

*   🚨 **Login Crash:** Three different users reported a hard crash when trying to log in on iOS. This is critical.
*   🎨 **Dark Mode:** Several comments requested a dark mode option for better evening usability.
*   🐌 **Slow Loading:** A recurring complaint about the main dashboard loading slowly after the last update.

Please prioritize fixing the login bug immediately.
```

**Prompt:** 
```
Search for 'photo editor' apps and give me their top rankings.
```

**Response:** 
```
**Top Competitor Rankings: Photo Editor Category**

*   🥇 **CameraPro:** Rank #1 (Photo & Video)
*   🥈 **PixelPerfect:** Rank #3 (Photography)
*   🥉 **SnapMaster:** Rank #5 (Editing Tools)

These apps consistently appear on the first page of search results, suggesting strong ASO efforts. We should check their keyword focus.
```

## Capabilities

### Analyze App Performance Metrics
Pull detailed reports on downloads, updates, returns, and net revenue to understand app health.

### Monitor Subscription Health
Get metrics like active subscriber counts, churn rates, and overall subscription performance.

### Review Sentiment Analysis
Retrieve user feedback to automatically identify recurring bugs, common feature requests, or shifts in sentiment.

### Track Market Rankings
Get daily category and keyword rankings across major app stores for ASO strategy checks.

### Conduct Competitive Research
Search and pull performance data on any mobile app to benchmark against market leaders or rivals.

## Use Cases

### The Quarterly Business Review
A Product Manager needs to prepare a Q3 review. They ask their agent for the `get_revenue_report` and `get_subscriptions_report`. The AI compiles a single, digestible summary showing revenue growth versus churn rate, eliminating hours of spreadsheet work.

### Identifying Feature Gaps
A development team suspects poor adoption. They use the agent to analyze recent `list_reviews` data for their top-selling app, quickly identifying that 80% of negative feedback centers on a missing dark mode feature.

### Competitive Feature Check
An ASO specialist wants to know if a rival is leveraging new keywords. They use the `search_products` tool to pull data on 'Competitor X' and compare its current ranking against their own using `get_ranks`.

### Post-Launch Performance Audit
A marketing team wants to know if a recent campaign paid off. They ask for the `get_sales_report` covering the last two weeks, comparing total downloads and updates against the preceding period.

## Benefits

- Stop bouncing between dashboards. You can pull complex metrics—like combining sales data with subscription health reports—using simple conversation, eliminating manual data aggregation.
- Improve your ASO strategy by using the `get_ranks` tool to check daily keyword and category rankings instantly, letting you adjust metadata in hours instead of days.
- Understand user pain points faster. Instead of reading hundreds of reviews, let the AI process them via `list_reviews` to pinpoint recurring bugs or feature gaps immediately.
- See your full financial picture. The ability to run a `get_revenue_report` alongside sales data (`get_sales_report`) gives you immediate visibility into net proceeds and revenue sources.
- Stay ahead of competitors by running searches with `search_products` on any title, giving you instant benchmarks without leaving your workflow.

## How It Works

The bottom line is that you stop assembling reports manually and start asking questions that get precise, actionable answers.

1. You authorize your AI client connection via the Vinkius platform, linking your Appfigures account.
2. Your agent processes a natural language request, such as 'Show me the revenue change for Q3.'
3. The MCP executes the necessary calls and returns structured data—like a sales report or ranking list—directly to your AI client for immediate analysis.

## Frequently Asked Questions

**How can I use Appfigures MCP to track my app's revenue?**
You can generate detailed financial reports showing total net proceeds from the app stores. This goes beyond just downloads; it gives you a real-world view of your income stream, helping you prove ROI instantly.

**Does Appfigures MCP help me compare my app to competitors?**
Yes. You can use the MCP to search for any app on the market and get data on their current rankings and general performance metrics. This is critical for adjusting your own ASO strategy.

**What if I need to analyze user reviews from Appfigures via AI agents?**
The MCP lets you retrieve and analyze recent user feedback directly, allowing the agent to identify patterns like recurring bugs or popular feature requests without manual reading. It turns raw text into actionable tasks.

**Is Appfigures MCP only for iOS, or does it cover Google Play too?**
The MCP supports multiple major app stores. You can connect all your linked store accounts to get a consolidated view of performance metrics and sales data in one place.

**Can I use Appfigures MCP to track my keyword rankings? **
Absolutely. By running daily category and keyword checks, you can monitor exactly where your app is ranking on the store. This helps you measure the impact of any ASO changes you make.

**What kind of data does Appfigures MCP pull regarding sales?**
It pulls comprehensive sales metrics, including total downloads, updates, and even returns. This gives a full picture of user lifecycle value, not just the initial install count.