How to Use the Amazon Marketing Cloud MCP in Cline

Turn Cline into an automated Amazon Marketing Cloud analyst that builds ad-hoc dashboards and manages SQL workflows right inside VS Code.

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Connect Amazon Marketing Cloud MCP to Cline

Create your Vinkius account to connect Amazon Marketing Cloud to Cline 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 Marketing Cloud with Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build reporting tools with Cline

Ask your agent to build a custom dashboard for your ad spend. It writes the React components, then uses `list_workflows` via this MCP Server to pull your available AMC queries directly into the codebase. It doesn't stop at boilerplate. The agent wires up the API calls to trigger `create_execution` from your new UI, testing the entire flow before showing you the git diff.

Manage AMC workflows in your editor

Stop logging into the AWS console to fix a broken query. You can ask your VS Code MCP assistant to investigate. It runs `get_workflow_details` to pull the exact SQL definition into your current tab. After fixing the syntax error, it pushes the fix via `update_workflow`. You get a fully working advertising query without ever leaving your IDE environment.

Handle execution lifecycles end-to-end

Running massive marketing datasets means waiting for jobs to finish. Your agent can build a script that polls `get_execution_status` and handles the response states automatically. If a job gets stuck, it can programmatically issue a `delete_execution` command. When a job finishes, it grabs the results via `get_execution_download_urls` over the MCP protocol and saves the CSV to your local workspace.

Setup guide

Set up Amazon Marketing Cloud MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type amazon-marketing-cloud-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Amazon Marketing Cloud refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "amazon-marketing-cloud-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon Marketing Cloud. 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.

Why Choose Vinkius

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Common questions about Amazon Marketing Cloud MCP in Cline

Open the sidebar and click the MCP icon. You can add the Vinkius URL via the Remote Servers tab using Streamable HTTP transport.

That is exactly what it does. You ask for a script to pull ad metrics, and it writes the code while testing it against live AMC tools.

Yes, if you instruct it to manage your queue. It can fetch pending tasks and run `delete_execution` on anything older than your specified timeout.

Just ask your agent what queries are available. It will trigger the MCP tool to print the names and IDs directly in your chat panel.

Your advertising campaign IDs and SQL definitions are processed in a zero-trust environment. Every session gets a dedicated, isolated instance that gets destroyed immediately after your agent finishes its tasks.

Use it with your favorite AI tools

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