How to Use the AppGallery Connect MCP in Mastra AI

Q: How do I handle failed AppGallery Connect uploads in Mastra AI?

Configure Mastra's workflow engine to catch errors from getuploadurl or submitforreview. The workflow automatically retries with exponential backoff or triggers an alternative path to notify your team.

Q: Can I require human approval before Mastra AI replies to AppGallery Connect reviews?

Yes, you protect your brand by using Mastra's requireToolApproval feature on the replytocomment tool. The agent drafts the response based on AppGallery Connect data but waits for your green light to post it.

Q: How do I register the AppGallery Connect MCP Server in Mastra AI?

You instantiate the client using the @mastra/mcp package and point it to your Vinkius endpoint URL. Mastra registers the tools like listapps automatically, making them ready for your agents to use.

Q: Can Mastra AI agents monitor submission statuses autonomously?

Yes. You can schedule a Mastra workflow to poll getsubmissionstatus at regular intervals via the MCP interface. The workflow runs quietly in the background and only alerts you when the app status changes.

Build resilient, self-healing AppGallery Connect release workflows using Mastra AI agents.

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Connect AppGallery Connect MCP to Mastra AI

Create your Vinkius account to connect AppGallery Connect 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 AppGallery Connect with Mastra AI

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Automated release pipelines with Mastra AI

Automated release pipelines rely on the `get_upload_url` and `submit_for_review` tools to push builds to Huawei. Using Mastra AI, your agent calls these tools to stage your APK and start the approval process. If the submission fails due to missing metadata, Mastra's workflow engine catches the error. The agent automatically runs `get_app_info` to find the missing fields, fixes them, and retries the upload without crashing.

Human-in-the-loop review moderation with Mastra AI

The `get_comments` tool powers automated customer support on the Huawei AppGallery while keeping full human control. This MCP Server lets your agent monitor reviews using `get_comments` and draft replies automatically. Before posting via `reply_to_comment`, Mastra's `requireToolApproval` flag pauses the workflow. You get a Slack notification or UI prompt to approve the reply before it goes live to the store.

Conditional branching for AppGallery Connect metrics

Monitoring live store performance is driven by the `get_download_stats` and `get_rating_info` tools. Mastra AI runs daily checks on these stats to monitor how your latest release is performing. If ratings drop below a specific threshold, the workflow branches. It triggers a secondary agent to fetch the exact bad reviews via `get_comments` and alerts your engineering team immediately.

Setup guide

Set up AppGallery Connect 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 AppGallery Connect 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: "appgallery-connect-mcp-client",
  servers: {
    "appgallery-connect-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent AppGallery Connect 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 AppGallery Connect. 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 AppGallery Connect MCP in Mastra AI

Configure Mastra's workflow engine to catch errors from `get_upload_url` or `submit_for_review`. The workflow automatically retries with exponential backoff or triggers an alternative path to notify your team.

Yes, you protect your brand by using Mastra's `requireToolApproval` feature on the `reply_to_comment` tool. The agent drafts the response based on AppGallery Connect data but waits for your green light to post it.

You instantiate the client using the `@mastra/mcp` package and point it to your Vinkius endpoint URL. Mastra registers the tools like `list_apps` automatically, making them ready for your agents to use.

Yes. You can schedule a Mastra workflow to poll `get_submission_status` at regular intervals via the MCP interface. The workflow runs quietly in the background and only alerts you when the app status changes.

Yes. Your API tokens and application binaries are processed inside ephemeral, zero-trust environments on Vinkius. No credentials or sensitive store metrics are ever persisted in Mastra's MCP execution logs.

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