How to Use the AdButler MCP in Cursor

Q: How do I add the AdButler MCP Server to my Cursor setup?

Add the server configuration to your global /.cursor/mcp.json file or create a project-specific .cursor/mcp.json in your root directory.

Q: Can the Cursor agent use AdButler tools to write custom reports?

Yes. The agent calls getperformancereport to get real metrics and then writes the code to format that data into your target files.

Q: How does the MCP Server access creative assets?

The agent invokes the listcreatives tool to pull your library of banners and videos, allowing you to reference real asset filenames in your code.

Write code using live AdButler performance metrics and campaign structures directly inside Cursor with this MCP Server.

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Connect AdButler MCP to Cursor

Create your Vinkius account to connect AdButler 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 AdButler with Cursor

Ask AI about this MCP

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Claude

Perplexity

Generate code using live AdButler campaign data

The `list_campaigns` tool pulls active and pending self-serve advertising campaigns directly into your editor context. Your agent uses this live data to write precise integration code, replacing static mocks with actual campaign structures. This changes how you build internal tools. Instead of guessing API responses, your agent sees the exact format of your active campaigns and writes functional code on the first try.

Audit ad performance metrics in Cursor

The `get_performance_report` tool fetches live impressions, clicks, and CTR data directly into your coding environment. You can ask the editor agent to analyze performance trends and automatically write the logic to flag underperforming zones. You don't have to bounce between your browser and terminal. The agent reads the raw metrics, formats them, and helps you build custom reporting dashboards right inside your project files.

Map publisher placements with an MCP Server

The `list_publishers` and `list_zones` tools query your network structure to return active placements linked to specific publisher IDs. Your agent uses these lists to build dynamic ad-tag injectors without hardcoding outdated zone values. By feeding real publisher data directly into the LLM context, you avoid integration bugs. The agent maps out the relationships between publishers and zones so your code matches your real-world ad setup.

Setup guide

Set up AdButler 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 AdButler 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 AdButler transactions." If the MCP tools are loaded correctly, Cursor will call the AdButler tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "adbutler-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 AdButler. 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 AdButler MCP in Cursor

Add the server configuration to your global `~/.cursor/mcp.json` file or create a project-specific `.cursor/mcp.json` in your root directory.

Yes. The agent calls `get_performance_report` to get real metrics and then writes the code to format that data into your target files.

Yes, Cursor connects directly to the server running on your local machine, allowing you to debug tool execution in real-time through the agent chat window.

The agent invokes the `list_creatives` tool to pull your library of banners and videos, allowing you to reference real asset filenames in your code.

Yes. Your API keys, creative assets, and campaign details remain on your local machine. The server processes these credentials in a zero-trust sandbox, ensuring your private ad metrics never leak to external logging servers.

Use it with your favorite AI tools

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

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