How to Use the VBOUT MCP in Cursor

Q: How do I fetch contact details using VBOUT with Cursor?

Simply call the getcontact tool within your file. The AI agent will generate working code that injects live data directly into your script, so you don't have to mock anything.

Q: Can I trigger workflows with VBOUT using Cursor?

Yes, the triggerworkflow tool lets you programmatically initiate automation. You just add the function call and pass in the contact ID needed for the workflow to run.

Q: What data does VBOUT touch regarding privacy, and how does Cursor handle it?

This MCP Server touches contact details (emails, names). Because you're working inside your project scope, the live API responses are contained within your local code execution environment.

Q: What setup is needed for VBOUT with Cursor?

You create a .cursor/mcp.json in your project root or globally at /.cursor/mcp.json. Don't forget to enable Agent mode in the chat interface.

Q: Which VBOUT tools are best for generating code snippets with Cursor?

Try using addcontact and listemaillists. This lets you write functions that add new contacts or process existing lists, all using real API context.

Write code that acts on marketing data with Cursor and the VBOUT MCP Server.

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Connect VBOUT MCP to Cursor

Create your Vinkius account to connect VBOUT 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 VBOUT with Cursor

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Interacting with Contacts via MCP Server

Need to write a function that updates user records? The `search_contacts` tool lets your agent find specific people by criteria, and the `get_contact` function pulls their full profile into your code context. This means you're writing against live data.

Scheduling Content with VBOUT

Writing a routine to post updates isn't hard anymore. Use the `create_social_post` tool call, and your AI client generates working code that actually uses real API responses for posting. You can automate content deployment right in your project.

Analyzing Marketing Data with MCP Server

To check marketing status, use the `list_campaigns` tool to pull campaign data into variables. Similarly, running `list_email_lists` populates a list of target groups you can then iterate over in your code.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "vbout-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 VBOUT. 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 VBOUT MCP in Cursor

Simply call the `get_contact` tool within your file. The AI agent will generate working code that injects live data directly into your script, so you don't have to mock anything.

Yes, the `trigger_workflow` tool lets you programmatically initiate automation. You just add the function call and pass in the contact ID needed for the workflow to run.

This MCP Server touches **contact details** (emails, names). Because you're working inside your project scope, the live API responses are contained within your local code execution environment.

You create a `.cursor/mcp.json` in your project root or globally at `~/.cursor/mcp.json`. Don't forget to enable Agent mode in the chat interface.

Try using `add_contact` and `list_email_lists`. This lets you write functions that add new contacts or process existing lists, all using real API context.

Use it with your favorite AI tools

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

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