How to Use the Apple Search Ads MCP in VS Code Copilot

Q: Does VS Code Copilot support pulling Apple Search Ads keyword reports?

Yes. The agent can call tools like getkeywordreport and display the performance data directly in your chat panel.

Give your engineering team instant access to Apple Search Ads via VS Code Copilot.

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Connect Apple Search Ads MCP to VS Code Copilot

Create your Vinkius account to connect Apple Search Ads to VS Code Copilot 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 Apple Search Ads with VS Code Copilot

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VS Code Copilot MCP Server sharing

Engineering teams hate configuring local environments. You drop the connection details into your repository, and everyone gets access to `list_campaigns` immediately. One file handles the entire rollout. Junior developers don't need to ask where to find the API documentation. They just ask their agent to fetch active campaigns, and the tools run under the hood.

Debug ad group performance

Data engineers constantly build pipelines that ingest marketing metrics. You can pull `get_ad_group_report` alongside your ETL code to verify the numbers. The agent compares the raw API output against what your local database shows. Catching discrepancies happens before you merge the pull request. You test the actual endpoint response against your parsing logic without leaving the editor.

Inspect search term raw data

Understanding search intent requires looking at the raw queries. You ask your AI client to run `get_search_term_report` and dump the output into a scratch file. You figure out exactly which fields the API returns. This MCP integration turns your editor into a live testing environment. You stop relying on outdated API documentation because the agent fetches the current truth.

Setup guide

Set up Apple Search Ads MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Apple Search Ads MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Apple Search Ads tools listed. Try asking: "List my recent Apple Search Ads transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "apple-search-ads-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 Apple Search 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 Apple Search Ads MCP in VS Code Copilot

Open the Command Palette and select the MCP configuration option. Add the Vinkius URL, and switch your chat window to Agent mode.

Yes. You commit the configuration file to your Git repository. Anyone who pulls the repo gets the exact same tools automatically.

You need version 1.96 or higher. Older versions lack the necessary agent framework to execute external tools.

Yes. The agent can call tools like `get_keyword_report` and display the performance data directly in your chat panel.

We use a strict zero-trust architecture. When your team pulls ad group structures or performance metrics, the request executes in an isolated environment. Nothing gets cached on our servers.

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