# Appbot MCP for AI Agents AI Agent Connect > Appbot lets you pull and analyze app store reviews from iOS and Android directly into your AI workflow. It handles sentiment analysis, topic identification, and version tracking, making it easy to see what users actually think about your latest release. Stop digging through spreadsheets and start getting clear answers on user pain points and feature requests. ## Overview - **Category:** customer-support - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/ai-agent-connect - **Tags:** sentiment-analysis, app-reviews, user-feedback, customer-insights, mobile-apps, rating-tracking ## Description When you're managing a mobile app, the sheer volume of feedback can be overwhelming. You need to know if that new update actually fixed the login bug or if users are still complaining about the UI. This connector lets you link your account to your AI agent so you can ask questions about your user base in plain English. Instead of manually filtering through thousands of entries, you can just ask your agent to find every negative review from the last week regarding performance. It pulls the data, categorizes the sentiment, and highlights the recurring themes for you. It's a huge time saver for anyone who needs to turn messy feedback into actionable tasks. You'll find this is one of the most straightforward ways to bridge the gap between raw app store data and actual product decisions, especially when using the Vinkius catalog to manage your integrations. You can see how different regions feel about your app, track how sentiment shifts after a specific version launch, and identify specific bugs before they become PR disasters. It turns a mountain of text into a clear narrative of what your users want next. You can quickly see if a specific country is having a different experience than the rest of the world or if a particular language group is finding the navigation confusing. This moves you away from guessing what the market thinks and toward knowing exactly where the friction is. Whether you are looking for specific bug reports or general sentiment trends, you get the answers without the manual labor of scrolling through hundreds of app store pages. ## Tools ### get_account_info get_account_info retrieves your Appbot account details and connection status. Use it to ensure your link is active. ### get_review_details get_review_details pulls every piece of information for a single specific review. This helps you see the full context of a user's comment. ### list_apps list_apps shows every app your team is currently tracking. Use this to see your full portfolio of monitored products. ### list_countries list_countries shows the countries available for filtering your review data. Use this to understand your global reach. ### list_custom_topics list_custom_topics shows the user-defined topics set up in your dashboard. Use this to see your custom categories. ### list_languages list_languages shows all languages supported for sentiment analysis. Use this to see which regions you can analyze. ### list_reviews list_reviews lets you filter and pull reviews by sentiment, star rating, or keywords. This is the primary tool for finding specific feedback. ### list_topics list_topics shows the standard topics identified by the Appbot AI. Use this to see common themes like performance or UI. ### list_versions list_versions shows the different app versions detected in your reviews. Use this to see how new releases are being received. ### get_reviews_by_custom_topic get_reviews_by_custom_topic finds all reviews associated with a specific topic you've defined. Use this to drill down into specific features. ## Prompt Examples **Prompt:** ``` What are people saying about the new login screen in the latest iOS update? ``` **Response:** ``` Users are generally mixed about the new login screen. Here's the breakdown: - **Positive:** Many users love the new biometric options. - **Negative:** There are several reports of the FaceID button not responding on older devices. - **Sentiment:** Mostly Neutral/Mixed. I've pulled the latest reviews for the most recent version to give you this summary. ``` **Prompt:** ``` List the top 5 complaints from our Android users in the UK. ``` **Response:** ``` I've filtered the reviews for the UK region. The most frequent complaints are: 1. **Slow loading times** (High frequency) 2. **UI overlapping** on smaller screens 3. **Battery drain** issues 4. **Missing Undo button** 5. **Login timeouts** ``` **Prompt:** ``` Show me all 1-star reviews mentioning 'crash' from the last 30 days. ``` **Response:** ``` I've pulled the 1-star reviews containing 'crash'. Here are the highlights: - 12 reviews mention a crash immediately after the splash screen. - 4 reviews mention a crash during the checkout process. - **Action Item:** It looks like the splash screen might be a primary point of failure for some users. ``` ## Capabilities ### Filter reviews by rating or keywords Pull specific feedback based on star ratings or terms like 'crash' or 'login'. ### Categorize feedback by sentiment Group reviews into positive, negative, neutral, or mixed buckets automatically. ### Identify recurring themes Spot standard and custom topics to see what users are talking about most. ### Track feedback by version See how sentiment changes specifically for new app releases. ### Filter by country and language Understand your global audience by looking at region-specific feedback. ### Get full review details Retrieve every piece of data for a single specific user comment. ## Use Cases ### Evaluating a new feature launch A product manager wants to know if the new 'Dark Mode' update was well-received. They ask the agent to show sentiment for the latest version. ### Identifying emerging technical issues A support lead notices a spike in 'Login' issues. They ask the agent to list reviews for that specific topic from the last 48 hours. ### Filtering for critical bugs A developer needs to find all 1-star reviews containing the word 'crash'. They ask the agent to list reviews with that specific keyword. ### Analyzing global market sentiment A marketing lead wants to know which countries are most happy with the app. They ask the agent to summarize sentiment by country. ## Benefits - Stop manual sorting: Use list_reviews to instantly filter by star rating or sentiment, saving hours of manual spreadsheet work every week. - Faster bug detection: Use list_versions and list_reviews together to see if a new release caused a spike in negative feedback for specific issues. - Targeted trend analysis: Use get_reviews_by_custom_topic to drill down into specific features like login or performance without wading through noise. - Global perspective: Use list_countries to see how your app is performing in different markets and identify region-specific complaints. - Automated sentiment tracking: Use list_languages and list_reviews to get a pulse on how users feel across different regions without manual translation. ## How It Works The bottom line is you get a searchable, analyzable feed of user feedback without ever leaving your chat interface. 1. Provide your Appbot API Key and Secret to connect your account. 2. Link the specific apps and regions you want to monitor. 3. Ask your AI agent to summarize trends, find bugs, or pull specific reviews. ## Frequently Asked Questions **Can Appbot MCP help me see if my new update caused bugs?** Yes, it lets you filter reviews by specific app versions so you can see if negative feedback spiked after a launch. **How does Appbot MCP handle different languages?** It supports multiple languages for sentiment analysis, so you can understand your global audience without manual translation. **Can I use Appbot MCP to find specific feature requests?** You can use the custom topic tool to pull all reviews related to specific features you've tagged. **Can Appbot MCP summarize the general mood of my users?** Yes, it can pull reviews based on sentiment to give you a quick pulse on user happiness. **Does Appbot MCP work for both iOS and Android?** Yes, it retrieves and analyzes feedback from both platforms, as well as other tracked stores. **Can I filter Appbot MCP results by country?** You can list and filter by country to see how your app is performing in different global markets. **How do I find my Appbot API credentials?** Log in to your Appbot dashboard, go to your team settings, and navigate to the API section. You can generate an API Key which consists of a Username and a Password. **Can I filter reviews for a specific app version?** Yes, you can use the `list_versions` tool to see detected versions and then use the `list_reviews` tool with the version filter to see feedback for that specific release. **What types of sentiment does Appbot detect?** Appbot classifies reviews into four sentiment categories: positive, negative, neutral, and mixed. You can filter reviews using these categories in the `list_reviews` tool.