AppFollow MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect AppFollow through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"appfollow": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "AppFollow Agent",
instructions:
"You help users interact with AppFollow " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with AppFollow?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AppFollow MCP Server
The AppFollow MCP Server brings powerful app store intelligence directly to your AI agent. Monitor your app's reputation, track your position in the charts, and analyze user feedback across all major app stores with ease.
Mastra's agent abstraction provides a clean separation between LLM logic and AppFollow tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
Key Features
- Review Management — List and search for user reviews across different countries and languages.
- AI & Sentiment Analysis — Get AI-generated summaries of user feedback and analyze the overall sentiment of your reviews.
- Ranking Tracker — Monitor your app's performance in store charts and track daily changes in visibility.
- Rating Metrics — Access current star rating distributions and historical rating trends over time.
- App Information — Retrieve detailed metadata and store information for any app on the market.
- Competitive Benchmarking — Compare your app's performance against competitors using global store data.
Benefits for Teams
- Customer Support — Quickly identify common user issues and bugs reported in reviews.
- Product Managers — Use AI summaries to understand user sentiment and prioritize feature requests.
- Growth & Marketing — Track rankings and ratings to measure the effectiveness of your ASO and UA efforts.
The AppFollow MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AppFollow to Mastra AI via MCP
Follow these steps to integrate the AppFollow MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from AppFollow via MCP
Why Use Mastra AI with the AppFollow MCP Server
Mastra AI provides unique advantages when paired with AppFollow through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add AppFollow without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every AppFollow tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
AppFollow + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the AppFollow MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query AppFollow, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed AppFollow as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query AppFollow on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using AppFollow tools alongside other MCP servers
AppFollow MCP Tools for Mastra AI (8)
These 8 tools become available when you connect AppFollow to Mastra AI via MCP:
get_account_check
Verify AppFollow account connection
get_app_info
Retrieve basic information about an app from AppFollow
get_rankings
Track app rankings in store charts
get_ratings
Get current star rating distribution
get_ratings_history
Get historical rating data over a period of time
get_reviews_ai_summary
Get an AI-generated summary of recent user reviews
get_reviews_summary
Get a summary of reviews and average rating
list_reviews
List app reviews for a specific app store product
Example Prompts for AppFollow in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with AppFollow immediately.
"What are the most recent 1-star reviews for my app?"
"Give me an AI summary of user feedback for 'com.example.app'."
"Where does my app rank in the 'Health & Fitness' category in the US today?"
Troubleshooting AppFollow MCP Server with Mastra AI
Common issues when connecting AppFollow to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAppFollow + Mastra AI FAQ
Common questions about integrating AppFollow MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect AppFollow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AppFollow to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.