How to Use the AppFollow MCP in Claude Code
Pipe AppFollow MCP Server data into your terminal with Claude Code to automate review tracking, monitor app rankings, and trigger CI/CD alerts.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AppFollow MCP to Claude Code
Create your Vinkius account to connect AppFollow to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Trigger CI/CD alerts on chart drops
The `get_rankings` tool outputs your app's current store chart position directly to standard output. You can write a shell script that tells Claude Code to check this metric every morning and exit with a non-zero code if your app falls out of the top 100. Running headless in a GitHub Action, the CLI pulls context using `get_app_info` to format an alert payload. It grabs the exact ranking numbers and pipes them into your Slack or PagerDuty webhooks without requiring manual intervention.
Monitor reviews with the AppFollow MCP Server
The `get_reviews_ai_summary` tool delivers a concise breakdown of recent user feedback straight to your terminal. SREs can run a quick command to see if users are reporting crashes immediately after a production deployment. If the summary highlights an issue, you instruct the CLI to execute `list_reviews` for the raw text. Claude Code parses the JSON response, greps for specific error codes mentioned by users, and outputs the affected device types.
Track star metrics in shell scripts
The `get_ratings_history` tool fetches the timeline of your app's star average. DevOps teams use this to build automated reports that correlate rating dips with specific backend deployment timestamps. The CLI combines this with `get_reviews_summary` to get the total volume of feedback. You can dump this raw data into a CSV file or pipe it into a local database for long-term metric tracking.
Set up AppFollow MCP in Claude Code
Prerequisites
- Claude Code CLI installed (
npm install -g @anthropic-ai/claude-code) - Active Vinkius subscription with a valid endpoint token
- 1
Run the add command
Open your terminal and run the command shown on the right. Replace
[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. Use--scope userto make it available across all projects. - 2
Verify the connection
Start a Claude Code session and type
/mcpto list connected servers. You should seeappfollow-mcpwith a green status indicator. - 3
Start using tools
Ask Claude Code something like "Check my latest AppFollow transactions." It will automatically discover and invoke the available AppFollow tools.
claude mcp add --transport http appfollow-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about AppFollow MCP in Claude Code
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the AppFollow MCP today
We host it, we monitor it, we maintain it. You just paste one token.