How to Use the AdRoll MCP in Cursor

Q: How do I configure AdRoll in Cursor?

Create an mcp.json file in your project root directory. Add the AdRoll MCP server details under the mcpServers key. Toggle Agent mode on in your chat panel to start using the tools.

Inject live AdRoll reporting data straight into your codebase using Cursor.

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Connect AdRoll MCP to Cursor

Create your Vinkius account to connect AdRoll to Cursor 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 AdRoll with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build reporting dashboards with Cursor

Writing internal marketing tools usually means faking API responses until things break in production. Agent mode fixes this. You tell the editor to build a React component for campaign tracking, and it runs `list_campaigns` to pull real AdRoll data. The code it generates actually works immediately. It knows the exact JSON structure because it just used `get_campaign` to inspect a live record. You skip the tedious mock data phase entirely and focus on styling the actual metrics.

Automate ad group analysis scripts

Python scripts for marketing analytics take hours to write if you have to guess the API schema. This MCP server gives your editor direct access to the source truth. Your AI client calls `list_advertisables` to find your account ID, then writes the data extraction logic around it. You want a cron job that checks ad performance daily. The agent uses `list_adgroups` and `list_ads` to see how the endpoints behave, then writes the exact HTTP requests you need. You get production-ready code that handles pagination and rate limits correctly from minute one.

Test custom report generation

Building automated reporting pipelines requires knowing exactly what the ad network returns. You ask your IDE to draft a data pipeline. It fires `get_report` with your specific JSON criteria to see the raw output format. The resulting script parses the exact fields AdRoll sends back. If you need to filter by specific user groups, it runs `list_segments` to grab the actual segment IDs for your tests. Your pipeline is grounded in reality before you even commit the code.

Setup guide

Set up AdRoll MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the AdRoll MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent AdRoll transactions." If the MCP tools are loaded correctly, Cursor will call the AdRoll tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "adroll-alternative-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 AdRoll. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AdRoll MCP in Cursor

Create an `mcp.json` file in your project root directory. Add the AdRoll MCP server details under the `mcpServers` key. Toggle Agent mode on in your chat panel to start using the tools.

The current toolset only supports reading data. Your editor can fetch ad details and campaign stats to help write code, but it cannot alter your active marketing setup.

It eliminates the need for API documentation lookups. Your AI client executes the calls, sees the real data structures, and writes code that parses those exact shapes perfectly the first time.

Yes. When you use Composer to generate multi-file features, it can query your ad data to build accurate types and interfaces. The live context results in significantly fewer runtime errors.

You authenticate once through the platform to get a single endpoint token. Your raw credentials never touch your local `.cursor/mcp.json` file. The ephemeral MCP server handles the request routing, keeping your audience segments and ad performance stats strictly between your machine and the provider.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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