How to Use the Amazon Ads MCP in Mastra AI

Q: Can I require manual approval before Mastra AI modifies my Amazon Ads campaigns?

Yes. You can use Mastra's requireToolApproval feature to intercept calls to tools like listspadgroups or campaign lists, ensuring a human reviews the planned budget changes first.

Build resilient, self-healing Amazon Ads automation workflows using Mastra AI and this managed MCP Server.

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Connect Amazon Ads MCP to Mastra AI

Create your Vinkius account to connect Amazon Ads 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 Amazon Ads with Mastra AI

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Run automated Amazon Ads keyword optimization

Mastra AI excels at running multi-step processes that need to handle real-world API failures when managing Amazon Ads budgets. You can build a workflow that fetches keywords using `list_sp_keywords` and automatically retries with exponential backoff if Amazon's API throttles the request. This MCP Server lets your agent inspect both Sponsored Products and Sponsored Brands keywords. If a keyword query fails, Mastra's built-in engine pauses, backs off, and runs `list_sb_keywords` again without crashing your entire automation pipeline.

Conditional reporting loops with human approval

Running Amazon Ads reports shouldn't happen blindly in your automation loops. Set up a Mastra AI workflow that triggers `request_sp_report`, monitors the compilation via `get_report_status`, and requires approval before exporting the final numbers. By setting `requireToolApproval` on the client, the workflow pauses when the report is ready. Your team can review the performance metrics before the agent proceeds to adjust budgets across your `list_sp_ad_groups`.

Deploy Amazon Ads agents with this MCP Server

Mastra AI lets you bundle your advertising agents and deploy them instantly to any cloud. By packaging this MCP Server client into your deployment, your agent can access advertiser profiles via `list_profiles` from any serverless or containerized environment. You define your server connection in the Mastra client config using the Vinkius URL. Once deployed, the agent autonomously monitors your `list_sp_campaigns` and `list_sb_campaigns` to ensure your ad spend aligns with your target parameters.

Setup guide

Set up Amazon Ads 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 Amazon Ads 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: "amazon-ads-mcp-client",
  servers: {
    "amazon-ads-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Amazon Ads 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 Amazon Ads. 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 Amazon Ads MCP in Mastra AI

Mastra AI uses its built-in workflow engine to handle rate limits gracefully. If `list_sp_keywords` or `list_sb_keywords` hits a throttle, the client automatically backs off and retries the request.

Yes. You can use Mastra's `requireToolApproval` feature to intercept calls to tools like `list_sp_ad_groups` or campaign lists, ensuring a human reviews the planned budget changes first.

You initialize the MCP Server client with your Vinkius endpoint, call `mcpClient.listTools()`, and spread those tools directly into your Agent's tool array during setup.

The client automatically detects and supports both Server-Sent Events (SSE) and Streamable HTTP transports, letting you connect to your managed advertising tools without manual network configuration.

We process your ad group lists and performance reports entirely within ephemeral memory. Vinkius's zero-trust V8 sandbox ensures that no advertising data is ever cached or exposed to external networks.

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