The Appbot MCP connector lets you ask your favorite AI LLM natural-language questions about your app reviews with no need to manually filter dashboards or export CSVs. Just ask a question and it queries Appbot’s app review data for you.
Who this is for: mobile app teams, app developers, QA engineers, product managers, and support teams who want to catch bugs and regressions in app reviews faster.
TL;DR: Ask Claude plain-language questions like “What bugs are people reporting in [app name] this month?” and it automatically filters your Appbot reviews by rating, sentiment, keyword, and app version to surface the issue, there is no need to know Appbot’s technical filters.
What the Appbot MCP Can Do
When connected, AI LLMs can pull from three tools behind the scenes:
- App list: see which apps you track in Appbot.
- Review stats: aggregated data like rating breakdowns, Sentiment, Topics, Custom Topics and available app versions.
- Reviews: individual review text, filterable by rating, sentiment, keyword, app version, language, and date range.
You don’t need to know these tool names or their filters. Just describe what you want in plain language, and your LLM translates it into the right query.
Two Layers of AI, Working Together
Appbot and your AI assistant each play a different role in this workflow.
Appbot’s purpose-built AI analyzes reviews as they arrive, identifying sentiment, topics, emotions, keywords and other signals in app review language. Your AI assistant can then query that structured review data, alongside ratings, versions and review text, to answer questions and investigate patterns.
So when you ask something like “What bugs are users reporting?”, Appbot provides the review intelligence and your AI assistant helps you explore it conversationally.
Step 1: Start Broad — Get the Lay of the Land
Before drilling into specifics, get an overview of what’s currently bothering users.
Try asking:
- “What are the most common bugs people are complaining about in [app name] this month?”
- “Show me all the negative, low-rated reviews for [app name] and summarize the recurring complaints.”
- “Do a bug-hunting pass on [app name] — what’s broken according to users right now?”
Step 2: Search by Bug Category
If you want to check for specific issue types, ask directly:
| Issue type | Example question |
|---|---|
| Crashes | “Are there any crash-related reviews for [app name] recently?” |
| Performance | “Is anyone complaining about [app name] freezing or being slow?” |
| Login/Sync | “Are users reporting login or sync issues in [app name]?” |
| Data/Billing | “Are there any reviews mentioning lost data or billing problems?” |
| General | “Show me reviews mentioning bugs or glitches this week.” |
Claude will search review text using relevant keywords for each category (e.g., “crash,” “freeze,” “won’t sync,” “charged twice”) and can run multiple keyword passes if needed.
Step 3: Check for Release-Related Spikes
Bugs often trace back to a specific update. Ask Appbot to correlate complaints with version history:
- “Did bug reports spike after our last update to [app name]?”
- “Compare complaint volume before and after version [X.X].”
- “What issues are people reporting specifically in version [X.X]?”
Step 4: Drill Into a Specific Bug
Once something stands out (e.g., a sync issue), narrow in with follow-up questions:
Isolate it:
- “Pull every review that mentions ‘sync’ or ‘syncing’ — show me the full text.”
- “Filter to only 1 and 2-star reviews that mention sync issues.”
Measure scope and trend:
- “How many reviews mention sync problems in the last 30 days vs the prior 30 days — is it growing?”
- “What percentage of our negative reviews are sync-related?”
Find when it started:
- “Which app version did sync complaints first show up in?”
- “Show me sync-related reviews grouped by app version.”
Understand the nature of the bug:
- “Are people saying data doesn’t sync at all, syncs late, or syncs incorrectly?”
- “Do any sync-related reviews mention specific features, like calendar or contact sync?”
Check impact and urgency:
- “Are any sync-related reviews mentioning lost data, not just delayed sync?”
- “Show me the most recent sync complaints, sorted newest first.”
Check nuance:
- “Are there any ‘mixed’ sentiment reviews that mention sync — people who like the app but are frustrated by this one thing?”
Step 5: Compare Across Apps (If You Track Multiple)
- “Across all the apps we track in Appbot, which one has the highest rate of bug-related complaints?”
- “Which app had the biggest jump in negative reviews this week?”
Example Drill-Down Conversation
Here’s what a full investigation might look like from start to finish:
- “Show me sync-related complaints for [app] in the last 60 days.”
- “Which version did these start appearing in?”
- “For that version, show me all 1-star sync reviews in full.”
- “Summarize exactly what’s breaking — is it a specific action like login, upload, or cross-device sync?”
Each step re-runs the review search with progressively tighter filters such as rating, sentiment, keyword, version, and date range, all without you needing to specify any of that manually.
What Bugs are Your Users Reporting?
Connect your apps to Appbot and try these prompts with your own app reviews. You can use Appbot MCP to find recurring bugs, compare issues across platforms and versions, and drill into the reviews behind each finding.
Sign up for a free trial of Appbot and see how quick and easy to identify bugs in your apps.
Frequently Asked Questions – Appbot MCP finding Bugs
Do I need to know Appbot’s filter options (ratings, sentiment, keywords, etc.) to use this?
No. Just describe what you’re looking for in plain language, the AI LLM maps your request to the right filters automatically.
How far back can I search?
As far back as your Appbot review history goes. Just specify a date range in your question, e.g., “reviews from the last 90 days” or “reviews between March and May.”
Can I see the actual review text, not just a summary?
Yes, ask explicitly, e.g., “show me the full text of those reviews” or “quote the worst ones.” By default, the LLM may summarize for brevity, but it can pull verbatim app review content on request.
What if I track multiple apps in Appbot, will it know which one I mean?
Name the app explicitly in your question. If you don’t, it may ask you to clarify or could default to the wrong app.
Can it distinguish between iOS and Android complaints?
Only if you track iOS and Android as separate apps in Appbot. If so, just specify the platform/app name in your question.
What if there aren’t enough reviews to spot a trend?
Claude will tell you if review volume is too low to draw a reliable conclusion, it’s worth widening the date range or checking back after you’ve collected more reviews.
Does this replace reading reviews manually?
It’s meant to speed up triage, surfacing patterns and the most relevant reviews fast. For nuanced calls (e.g., deciding severity or prioritization), it’s still worth reading key reviews yourself once they’re surfaced.
