Appbot Connector for AI agents.
10 live capabilities
Track app store sentiment and user feedback trends in real time.
Waiting for input…
Why people use Appbot
Appbot for Mobile App Review Sentiment Analysis
With this Connector, you just tell your agent what to find. It pulls the data from Appbot and summarizes the sentiment for you immediately. You go from digging through tabs to getting a clear summary of user pain points in seconds.
What Vinkius changes
You get a searchable, analyzable feed of user feedback without ever leaving your chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Evaluating a new feature launch
A product manager wants to know if the new 'Dark Mode' update was well-received.
- Real-world use case 02
Identifying emerging technical issues
A support lead notices a spike in 'Login' issues.
- Real-world use case 03
Filtering for critical bugs
A developer needs to find all 1-star reviews containing the word 'crash'.
Complete set · 10capabilities
The complete Appbot capability set.
These are the exact actions your AI can choose when you ask it to work with Appbot.
01—04
4 capabilities in this set.
Part of 10 available through Appbot.
- 01 Capability
Get account info
Get_account_info retrieves your Appbot account details and connection status. Use it to ensure your link is active.
- 02 Capability
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.
- 03 Capability
List apps
List_apps shows every app your team is currently tracking. Use this to see your full portfolio of monitored products.
- 04 Capability
List countries
List_countries shows the countries available for filtering your review data. Use this to understand your global reach.
05—07
3 capabilities in this set.
Part of 10 available through Appbot.
- 05 Capability
List custom topics
List_custom_topics shows the user-defined topics set up in your dashboard. Use this to see your custom categories.
- 06 Capability
List languages
List_languages shows all languages supported for sentiment analysis. Use this to see which regions you can analyze.
- 07 Capability
List reviews
List_reviews lets you filter and pull reviews by sentiment, star rating, or keywords. This is the primary capability for finding specific feedback.
08—10
3 capabilities in this set.
Part of 10 available through Appbot.
- 08 Capability
List topics
List_topics shows the standard topics identified by the Appbot AI. Use this to see common themes like performance or UI.
- 09 Capability
List versions
List_versions shows the different app versions detected in your reviews. Use this to see how new releases are being received.
- 10 Capability
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.
Set up in minutes
One URL. Then ask Appbot to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Appbot from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Appbot, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Appbot for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Appbot URL.
- Step 03
Save and start
Save the connection and enable Appbot in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"appbot": {
"url": "https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Appbot
Open Agent mode in chat and ask: "Using Appbot, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"appbot": {
"url": "https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Appbot
Ask Copilot: "Using Appbot, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"appbot": {
"url": "https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Appbot
Open Cascade and ask: "Using Appbot, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"appbot": {
"url": "https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Appbot
Ask Cline: "Using Appbot, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add appbot --transport http "https://edge.vinkius.com/vk_preview_GVeFEBPU1saHxCWIR0UMbJPTdE121h1YItGQ0l05/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Appbot
Ask Claude: "Using Appbot, show me...". 10 tools are ready
Where the request belongs
Work Appbot can move forward.
This is for the product and support teams who are tired of manually sorting through thousands of app store reviews to find actionable insights.
Product Manager
Uses this on Tuesday afternoons to see if a new feature launch actually landed well or if it caused new friction.
Customer Support Lead
Monitors sentiment to spot emerging bugs or hot issues across different regions before the support tickets pile up.
App Developer
Filters for technical bug reports and specific version issues to prioritize their next sprint.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsAppFollow
Manage app reviews and rankings with AppFollow. track sentiment, ratings, and store charts via AI.
Appfigures
Analyze app store performance with Appfigures. track downloads, revenue, reviews, and rankings via AI.
Chattermill
Analyze customer feedback and sentiment via Chattermill. track AI-powered themes, monitor NPS and CSAT, and unify feedback from every channel directly from any AI agent.
AppTweak
Bring App Store Optimization (ASO) to your AI agent. track app rankings, fetch keyword volumes, and analyze competitor downloads via chat.
Fera.ai
Manage reviews and social proof via Fera.ai. list customer feedback, track product ratings, and monitor UGC directly through your AI agent.
Pendo
Understand product usage, guide users with in-app walkthroughs, and collect feedback that shapes your roadmap with precision.
Bring your own AI
Change the model, client or framework. Keep Appbot connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Appbot.
The practical details behind the request, access and result.
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 capability 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 capability to see detected versions and then use the list_reviews capability 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 capability.
One connection away
Give your agent a direct line to Appbot.
Connect Appbot once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available