
Connect Appbot to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw user feedback into actionable product insights.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 10 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 10 available through Appbot.
- 01
List languages
List all languages supported by Appbot for sentiment analysis
- 02
Get reviews by custom topic
Retrieve reviews associated with a specific custom topic
- 03
Get account info
Retrieve Appbot account details and connection status
- 04
Get review details
Get complete details for a single specific review
05-07
3 capabilities in this set.
Part of 10 available through Appbot.
- 05
List apps
List all apps tracked by your team in Appbot
- 06
List countries
List countries available for filtering reviews
- 07
List custom topics
List user-defined custom topics set up in the Appbot dashboard
08-10
3 capabilities in this set.
Part of 10 available through Appbot.
- 08
List reviews
Use sentiment, starRating, or keyword filters to narrow down the results. Useful for sentiment analysis and bug reporting. List reviews for a specific app with optional filtering
- 09
List topics
List standard topics identified in app reviews by Appbot AI
- 10
List versions
List app versions detected in the app reviews
Real work
What teams actually run
Post-Launch Feature Review
After rolling out a major feature, you can check reviews for that specific app version to see if users are adopting it and what feedback they have.
Identifying a Bug Trend
If you suspect a bug, you can list reviews using a specific keyword or filter by a negative sentiment to quickly confirm the scope of the issue.
Market Expansion Analysis
When planning to launch in a new country, you can filter reviews by language and country to understand local user concerns.
Tracking Support Load
You can monitor sentiment over time to see if a recent change has caused a spike in negative feedback or support tickets.
Automate a task
Put Appbot to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Appbot works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Appbot to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
865ms average. Fast in production.
Appbot is checked daily against the live service.
- Fastest day
- 746ms
- Slowest day
- 1092ms
- 14-day trend
- Stable-2%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Appbot, so you can see the experience inside your AI.
It does not authenticate your account with Appbot. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Appbot Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Appbot capabilities are ready to use.
{
"mcpServers": {
"appbot-mcp": {
"url": "https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Appbot in Claude and other AIs
Who it's for
Built for the work Appbot owners hand off.
If you manage an app and need to know what users are actually saying, this MCP is for you. It takes the guesswork out of customer feedback by structuring raw reviews into clear, actionable data points.
- 01
Product Managers
Evaluate the reception of new features and pinpoint pain points directly from user reviews.
- 02
Customer Support Leads
Monitor sentiment and spot emerging issues before they escalate into major complaints.
- 03
App Developers
Track technical feedback and bug reports surfaced in app store reviews to prioritize fixes.
FAQ
Questions Appbot owners ask.
- 01
What kind of data can I get from this MCP?
You can retrieve detailed reviews, analyze sentiment (positive, negative, neutral), and identify common topics. You can also list apps, versions, and countries to narrow down your search.
- 02
Do I have to use the Appbot dashboard to run these reports?
No. Once connected via Vinkius, you use your AI client to run all the analysis. You just need to provide your API credentials once for the connection to work.
- 03
Can I filter reviews by specific app versions?
Yes. You can use the list_versions capability to see what versions are tracked, and then filter your review searches to evaluate feedback for a specific release.
- 04
Is this just for English reviews?
No. You can list available languages and filter reviews by country and language, giving you global insights into your user base.
- 05
What if I want to find reviews about a specific bug?
You can use the list_reviews capability and filter by keywords or use the get_reviews_by_custom_topic capability if you've already set up that topic in Appbot.
- 06
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.
- 07
Can I filter reviews for a specific app version?
Yes, you can use the list_versions capability to see detected versions and then use the list_reviews capability with the version filter to see feedback for that specific release.
- 08
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 capability.
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