How to Use the Trengo MCP in Cursor

Q: Does the Trengo MCP Server support team role management in Cursor?

Yes. You can use listteammembers to pull data about user roles or check permissions, which is critical for building secure and functional applications that interact with the MCP Server.

Q: Is the Trengo MCP Server setup easy in Cursor?

You typically just need to create a .cursor/mcp.json file in your project root or globally. You then add the server definition there, and enable Agent mode in chat.

Write code that uses live support data from Trengo with Cursor.

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Connect Trengo MCP to Cursor

Create your Vinkius account to connect Trengo 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 Trengo with Cursor

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Inject Live Support Context into Your Code

The unique power here is generating working code based on real API responses. If your script needs to know the status of a customer's account, you can call `get_account_profile` and inject that live JSON directly into the function you’re writing. It means you don't have to mock data or use stubs anymore. The AI agent calls tools like `list_contacts` and uses the actual contact list returned to build out your code structure.

Build Logic Around Ticket Management

Writing automation scripts for support is easy with this MCP Server. You can write functions that check ticket status using `list_tickets`, pull conversation history via `list_messages`, or even automatically update a record by calling `update_ticket`. This capability lets developers build entire pipelines in the editor, treating Trengo's communication tools as native code libraries available to the AI.

Automate Communications Logic

Need your application to send a notification when something changes? You can write logic that uses `send_message` or even triggers new webhooks using `create_webhook`. The agent handles the tool invocation, giving you clean code output. It also lets you list team members via `list_team_members`, meaning your scripts can validate permissions or assign tasks based on who's available in Trengo.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "trengo-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 Trengo. 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 Trengo MCP in Cursor

The AI generates working code that executes real API calls against Trengo. You write the function, and the agent fills in the body using tools like `get_ticket` or `list_channels`, giving you live context without leaving your editor.

You can build automation around communication channels, including email, chat, WhatsApp, and social media. The tools let you handle ticket creation (`create_ticket`) and message sending (`send_message`) directly within your code context.

Yes. You can use `list_team_members` to pull data about user roles or check permissions, which is critical for building secure and functional applications that interact with the MCP Server.

You typically just need to create a `.cursor/mcp.json` file in your project root or globally. You then add the server definition there, and enable Agent mode in chat.

It primarily handles communication data: ticket messages, contact lists, channel information, and user `account_profile` details. Everything revolves around customer interaction records.

Use it with your favorite AI tools

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

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