How to Use the Dopplio MCP in Cursor

Q: How do I configure Dopplio in my Cursor editor?

Add the Dopplio MCP server details to your global /.cursor/mcp.json file. Once saved, enable Agent mode in Cursor to let the AI call tools like generatevideo and listvideos.

Q: Can Cursor call the Dopplio video generator in Agent mode?

Yes, Cursor can run generatevideo directly when you ask the agent to test a Dopplio campaign. The agent constructs the payload and executes the call, returning the render details to your Cursor chat.

Build custom Dopplio video generation workflows in Cursor by letting the AI agent write code with live API responses.

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Connect Dopplio MCP to Cursor

Create your Vinkius account to connect Dopplio 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 Dopplio with Cursor

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Let Cursor write video code with real API responses

Stop writing code against mock endpoints when building Dopplio integrations in Cursor; instead, run `list_videos` to pull your actual active Dopplio video assets directly into your workspace. This Cursor MCP integration populates your editor with real production data. When writing your outreach scripts in Cursor, the agent calls `get_video_details` to verify the structure of your Dopplio data payloads in real time.

Automate website screenshots inside your editor

The Cursor agent invokes `capture_screenshot` to grab a live image of any URL, saving it directly to your local Cursor workspace so you can test how your Dopplio landing pages look. Use that screenshot immediately as a dynamic background for your Dopplio video templates by passing the path to `generate_video` inside your Cursor chat.

Track rendering pipelines using this MCP Server

Cursor calls `get_render_status` to see exactly why a specific Dopplio video is still processing, making debugging faster. If a PDF generation fails, the Cursor agent uses `render_pdf` logs to pinpoint formatting issues in your HTML structure, fixing your local Cursor code on the spot.

Setup guide

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

.cursor/mcp.json

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

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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 Dopplio. 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 Dopplio MCP in Cursor

Add the Dopplio MCP server details to your global ~/.cursor/mcp.json file. Once saved, enable Agent mode in Cursor to let the AI call tools like generate_video and list_videos.

Yes, Cursor can run generate_video directly when you ask the agent to test a Dopplio campaign. The agent constructs the payload and executes the call, returning the render details to your Cursor chat.

Ask the Cursor agent to check on a failed Dopplio job. It will call get_render_status to fetch the error details, allowing you to tweak your HTML template right in the Cursor editor.

Test document layouts instantly before deploying your Cursor project by passing local HTML files directly to the agent, which then runs render_pdf on the Dopplio server.

All personalization parameters and website URLs processed by Cursor are sent directly to Dopplio's secure API over TLS. Your local project code and Cursor workspace configurations are never exposed to external render queues.

Use it with your favorite AI tools

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