# AppFollow MCP for AI Agents AI Agent Connect

> AppFollow MCP helps you monitor app store performance. It pulls real-time data on your rankings, ratings, and user reviews so your AI agent can analyze sentiment and identify bugs or feature requests instantly.

## Overview
- **Category:** customer-support
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_XuFdPgnFKQbqH03qFIWIm45p4exhDPZHXXF0BeYC/ai-agent-connect
- **Tags:** app-reviews, sentiment-analysis, aso, customer-feedback, reputation-management, store-rankings

## Description

The AppFollow MCP brings app store intelligence directly to your AI agent. Instead of jumping between different dashboards to check your visibility, you can let your agent do the heavy lifting. It pulls real-time data on your rankings, ratings, and user feedback from all major stores. This means you can instantly see if a new update caused a spike in negative sentiment or if your latest ASO efforts are actually moving the needle. Because Vinkius hosts this Connector, you can connect it to your preferred AI client and get a clear picture of your app's reputation without the manual data entry. You can ask for a summary of recent feedback to identify bugs, or pull historical rating trends to see how your growth compares to last year. It turns raw store data into a conversation, letting you focus on fixing problems rather than hunting for them. Whether you are trying to spot a local outage in a specific country or checking how your app stacks up against a new competitor, this Connector puts the data in your hands instantly. It removes the friction of manual monitoring, giving you a direct line to what your users are actually saying and where your app stands in the marketplace. This connection is essential for anyone who needs to react quickly to user feedback while maintaining a steady focus on long-term growth metrics.

## Tools

### get_account_check
Verifies your AppFollow account is properly connected. Use this to ensure your agent has the right permissions.

### get_app_info
Pulls basic metadata and store details for a specific app. It is the quickest way to get the basics of any listing.

### get_rankings
Fetches your current position in various store charts. Use this to see if your visibility is improving or dropping.

### get_ratings_history
Retrieves historical star rating data over a set period. This helps you see how your app's reputation has changed over time.

### get_ratings
Shows the current distribution of star ratings. It gives you a snapshot of how many 5-star versus 1-star reviews you have right now.

### get_reviews_ai_summary
Provides an AI-generated summary of your most recent user feedback. It is perfect for getting the gist of hundreds of reviews in seconds.

### get_reviews_summary
Returns a summary of reviews along with the average rating. Use this for a high-level overview of your current standing.

### list_reviews
Lists all reviews for a specific app store product. This lets your agent dig into the actual text of what users are saying.

## Prompt Examples

**Prompt:** 
```
What's the general vibe of our reviews from the last week?
```

**Response:** 
```
Based on the last 150 reviews, the sentiment is mostly positive. Users love the new UI, but there is a recurring complaint about a bug in the checkout screen for Android users.

**Top Issues Identified:**
* **Bug:** Checkout screen hang
* **Request:** Dark mode
* **Request:** More offline support
```

**Prompt:** 
```
How has our ranking in the 'Productivity' category changed recently?
```

**Response:** 
```
You are currently ranked **#15** in the Productivity category. 

* **Previous Rank:** #18
* **Change:** +3 spots
* **Visibility:** Your visibility in the top 20 has increased by 12% overall compared to last week.
```

**Prompt:** 
```
Give me a summary of our current star ratings.
```

**Response:** 
```
Your current rating distribution is as follows:

| Rating | Percentage |
| :--- | :--- |
| 5-star | 70% |
| 4-star | 15% |
| 3-star | 5% |
| 2-star | 5% |
| 1-star | 5% |

**Average Rating:** 4.2 stars
```

## Capabilities

### Pull real-time app store rankings
Your agent can check your current position in various store charts instantly.

### Get AI-generated review summaries
Get a concise overview of hundreds of user reviews in a single request.

### View historical rating trends
Track how your app's star rating has changed over months or years.

### Extract detailed app metadata
Retrieve basic information and store details for any app on the market.

### Compare against competitors
Benchmark your app's performance against other titles using global data.

### List reviews by language
Pull specific user reviews from different countries and languages.

## Use Cases

### Identifying a sudden bug
A user notices a drop in ratings and asks the agent to summarize the last 50 reviews using `get_reviews_ai_summary` to find a specific crash.

### ASO Performance Check
A marketing manager wants to know if their new keywords worked and asks the agent to check `get_rankings` for their category.

### Competitor Analysis
A product manager wants to see how they compare to a top rival and asks the agent to pull data from `get_app_info` for three different apps.

### Regional Outage Detection
A growth lead asks the agent to list all 1-star reviews from the last 24 hours using `list_reviews` to check for local outages.

## Benefits

- Stop manually reading hundreds of reviews by using `get_reviews_ai_summary` to get a concise summary of user feedback instantly.
- Track your visibility gains over time by using `get_rankings` to see your position in various store charts.
- Identify recurring technical issues faster by using `list_reviews` to pull specific complaints into a single view.
- Analyze your app's reputation history with `get_ratings_history` to see how your score has changed over months.
- Get a clear snapshot of your current performance with `get_ratings` to see your star distribution at a glance.
- Perform competitive benchmarking using `get_app_info` to pull metadata for any app on the market.

## How It Works

The bottom line is your AI agent handles the data gathering while you focus on fixing the problems.

1. Connect your AppFollow account to the Vinkius platform.
2. Authorize your AI client to access the AppFollow MCP tools.
3. Ask your agent to fetch rankings, summaries, or historical ratings.

## Frequently Asked Questions

**Can the AppFollow MCP help me find bugs in my app?**
Yes, it can pull specific reviews and summarize recent feedback to help you spot recurring technical issues quickly.

**How does AppFollow MCP track my app's ranking?**
It pulls real-time data from store charts so your agent can tell you exactly where you stand in your category.

**Can I use AppFollow MCP to see my rating history?**
Yes, it can retrieve historical rating data so you can see how your app's reputation has shifted over time.

**Does AppFollow MCP support multiple languages?**
Yes, it can list and search for reviews across different countries and languages to give you a global view.

**Can I compare my app to my competitors with AppFollow MCP?**
Yes, it can pull metadata for any app on the market so you can benchmark your performance against others.

**What is the main benefit of using the AppFollow MCP for my team?**
It turns raw app store data into actionable insights, letting your agent handle the data gathering while you focus on product improvements.

**How do I find my AppFollow API Token?**
You can find your API token in your AppFollow account settings under the **API** or **Integrations** section.

**What is an 'extId' in AppFollow?**
The `extId` is the external ID of the app in the store. For iOS apps, it's the numeric Apple ID. For Google Play apps, it's the bundle name (e.g., `com.example.app`).

**Does this integration support semantic tags?**
Yes, you can use the `get_reviews_semantic` tool to retrieve reviews categorized by their content type, such as 'Bug', 'Feature Request', or 'Pricing'.