Appbot MCP: App Review Intelligence in your AI tools
Appbot MCP connects your live review intelligence to the AI tools your team already uses. Sentiment, topics, emotions and years of history - available to your assistant on demand. No exports, no pasting reviews into a chat window.
Over 25% of the Fortune 100 and 35% of top charting app developers use Appbot
Why it matters
An assistant is only as good as what it can see
Paste a hundred reviews into a chat and you get an opinion about a hundred reviews. Appbot MCP gives your assistant the whole picture – every review from both stores, already classified, going back to the day your app launched.
400M+ Records
Appbot’s proprietary models were trained on 400 million app reviews, so your assistant reads analysis built for how app users actually write.
93% Sentiment Accuracy
Every review is classified once, consistently, before your assistant ever asks. Same review, same answer, every session.
Not Just This Chat
Trends, version comparisons and country breakdowns across years of reviews – the context a chat window cannot hold.
How it works
One open standard. Every assistant you use.
MCP (Model Context Protocol) is an open standard for connecting AI assistants to the tools and data they need. Appbot runs an MCP server, your assistant connects to it, and your reviews become something it can query – securely, with your permissions, in your own account.
Connect Appbot once and the same classified review intelligence is there for Claude, ChatGPT, Gemini and any other MCP-compatible assistant your team reaches for.
Grounded answers
Ask in plain language. Get grounded answers.
Your assistant decides which Appbot data it needs and fetches it. You don't write queries, pick filters, or remember what a topic ID is. You ask what you'd ask a teammate.
Because answers come from Appbot's structured intelligence rather than raw pasted text, they're the same numbers your dashboards show – and the same numbers you can put in front of your exec team.
Tools
What your assistant can reach for
Three tools, exposed over MCP. Your assistant picks the right one for the question you asked.
appsWhich apps am I tracking? Your sources across the App Store, Google Play, macOS and Microsoft Store – including competitor apps.
review_statsWhat changed? Aggregated sentiment, topics, emotions and ratings, sliced by date, version, country or store.
reviewsShow me the receipts. The actual reviews behind any number, filtered and paged, with their classification attached.
Division of labour
Analysis stays in Appbot. Work happens where you are.
Your assistant isn't guessing at sentiment. Appbot has already done that work with purpose-built models – MCP just hands the results over. Emoji, sarcasm, all-caps frustration and 200+ languages are handled before your assistant sees a thing.
So the assistant spends its effort on the part it's good at: writing the release notes, drafting the ticket, summarising the quarter, arguing with your roadmap.
// Appbot returns classified data, not raw text { "topic": "Sign-in", "sentiment": "negative", "emotion": "frustration", "version": "8.4", "country": "DE", "reviews": 412, "change_vs_prior": "+412%" }
In practice
What teams actually ask
Same connection, six very different jobs.
“Which feature requests are growing fastest this quarter, and how many users asked?”
Roadmap input weighted by real demand, not by whoever shouted loudest in the last planning meeting.
“Any new crash patterns since Tuesday's release? Write me a Jira ticket for the worst one.”
Reviews as an early-warning system, and a ticket drafted from the evidence in the same breath.
“Summarise this week's 1 star reviews by theme so I can brief the team.”
Monday's stand-up prep in one question, with the underlying reviews one follow-up away.
“What do our competitors' users complain about that ours don't?”
Positioning and ad copy pulled straight from the gap between you and them.
“Draft release notes for 9.0 from the feature requests we shipped.”
Notes that name the things users asked for, in the words they used to ask.
“How has sentiment moved over 12 months, and what drove each turn?”
The board slide, with every claim traceable back to a review.
Setup
Connected before your coffee's cold
No SDK, no deploy, no ticket for the platform team.
Add the server to your assistant
Paste https://api.appbot.co/mcp into Claude, ChatGPT, or any MCP-compatible client and authorize.
Ask your first question
Your assistant can now see every app you track. Try “What are my top complaints this month?”
Comparison
Can't you just paste reviews into ChatGPT?
You can – and for twenty reviews, it's fine. It stops being fine the moment you need a number you would defend in a meeting, a trend that predates the chat, or an answer that's the same on Tuesday as it was on Monday.
| Pasting reviews into a chat | Appbot MCP | |
|---|---|---|
| What the assistant sees | ✕Whatever fits in the window | ✓Your full review history, live |
| Sentiment | ✕Guessed fresh each prompt | ✓93% accurate, already classified |
| Topics & emotions | ✕Ad-hoc, if you ask for them | ✓Automatic, plus your Custom Topics |
| Change over time | ✕No memory between chats | ✓Years of trends, pinned to releases |
| Consistency | ✕Varies run to run | ✓Same review, same result — always |
| Competitor apps | ✕Collect them yourself | ✓Tracked alongside your own |
| Effort per question | ✕Export, paste, repeat | ✓Connect once, then just ask |
| Languages | ✕Translate before pasting | ✓200+ analyzed natively |
The honest version: generic AI is a good reader and a poor analyst. Appbot does the analysis; your assistant does the thinking. More on why generic AI isn't enough →
Trust
Your reviews stay yours
Your account, your scope
The connection is authorized by you and sees only the sources your Appbot account already has access to. Revoke it any time.
No third-party training
Appbot does not use your review data to train third-party AI models. See our Data Privacy & Security policy.
Read access, by design
MCP surfaces your review data for analysis. Publishing replies stays inside Appbot’s AI Replies and Auto Replies, with your approval rules.
FAQ
Frequently asked questions about Appbot MCP
What is MCP (Model Context Protocol)?
MCP (Model Context Protocol) is an open standard that lets AI assistants connect securely to external data and tools. Instead of you copying information into a chat, the assistant requests exactly what it needs, when it needs it. Appbot MCP is Appbot's implementation of that standard.
Which AI assistants can I use Appbot MCP with?
Any MCP-compatible client, including Claude and ChatGPT. Because MCP is an open standard, assistants that add support later will work without any change on your side.
What's the difference between Ask Appbot and Appbot MCP?
Ask Appbot is conversational AI inside the Appbot platform. Appbot MCP brings the same review intelligence into external AI assistants, so you can analyze reviews alongside your other tools and workflows. Most teams use both: Ask Appbot for a quick answer while they are already in Appbot, MCP for work that spans other tools.
Which plans include Appbot MCP?
Appbot MCP is available on our Large and Premium plans, alongside Ask Appbot, AI Replies and Auto Replies. Analysis AI – sentiment, topics, emotions and keywords – is included on every plan. See the Pricing page for current limits.
Is my review data used to train third-party AI models?
No. Appbot does not use your review data to train third-party AI models. Your data is processed only to deliver Appbot's features for your account. Full details are in our Data Privacy & Security documentation.
Do I need a developer to set up Appbot MCP?
No. Generate the connection in Appbot, add the server to your assistant, and authorize. If you can add a Slack integration, you can do this.
Can my assistant reply to reviews through MCP?
Appbot MCP gives your assistant access to review data for analysis. Drafting and publishing replies to the App Store and Google Play happens in Appbot, where AI Replies and Auto Replies keep tone, rules and approvals under your control.
Does Appbot MCP cover competitor apps?
Yes. Any source you track in Appbot is available through MCP, including competitor apps. Ask your assistant to compare your reviews against theirs the same way you would ask about your own.
