How to Use the AppFollow MCP in Mastra AI

Build resilient AppFollow review monitoring workflows with automatic retries using Mastra AI.

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Connect AppFollow MCP to Mastra AI

Create your Vinkius account to connect AppFollow to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AppFollow with Mastra AI

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Automate rating workflows

The `get_ratings_history` tool feeds directly into Mastra AI conditional branches to track performance drops over time. If a sudden spike in one-star ratings occurs, your workflow can trigger alerts or pause marketing spend. Built-in exponential backoff handles API timeouts automatically. Your automation keeps retrying the fetch operation without writing custom error handling logic.

Process reviews with conditional logic

Executing `get_reviews_summary` pulls aggregated feedback data that your Mastra AI agent evaluates against predefined thresholds. You might route positive summaries to a Slack channel while sending negative reports to Jira. When you need deeper analysis, `list_reviews` grabs the exact user comments. The MCP protocol spreads these tools into your agent definition via the listTools method.

Monitor app rankings via MCP Server

Fetching data with `get_rankings` lets your agent react to store chart movements across different regions. A drop in visibility can trigger a secondary workflow that investigates recent app updates. Before running these complex sequences, `get_account_check` ensures your AppFollow connection is valid. This early validation saves compute cycles and prevents mid-workflow failures.

Setup guide

Set up AppFollow MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All AppFollow tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "appfollow-mcp-client",
  servers: {
    "appfollow-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "AppFollow Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to AppFollow tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent AppFollow transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppFollow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AppFollow MCP in Mastra AI

Instantiate the MCPClient with your Vinkius URL and call listTools(). Spread those returned tools directly into your agent configuration object.

You can enable requireToolApproval on specific operations. A manager can review the intent before the agent executes the pull.

The framework manages the tool execution, but you need to write workflow logic to loop through pages. Mastra AI conditional branching makes this iteration straightforward.

Vinkius hosts the remote endpoint while you deploy your Mastra code to any cloud provider. The two communicate via streamable HTTP.

Your user feedback text and store ranking metrics pass through a zero-trust environment. The Vinkius sandbox processes the request and instantly terminates, ensuring nothing persists on the bridge.

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