Integrate Trengo with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: How do I add an internal note to a ticket that the customer won't see?

Use the send_message action. Provide the Ticket ID and your text, and set the internal parameter to 'true'. This will log the message as a private note for your team.

Manage customer conversations across WhatsApp, email, chat, and social from one shared inbox your whole team can use.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create ticket on Trengo

Create a new ticket

create

Create webhook on Trengo

Create a new webhook

get

Get account profile on Trengo

Get current user profile

get

Get ticket on Trengo

Get ticket details

list

List channels on Trengo

). List communication channels

list

List contacts on Trengo

List all contacts

list

List messages on Trengo

List ticket messages

list

List team members on Trengo

List team users

list

List tickets on Trengo

List all support tickets

list

List webhooks on Trengo

List configured webhooks

send

Send message on Trengo

Send a message

update

Update ticket on Trengo

Update ticket status

Security & Code Integrity Audit

Every tool in the Trengo MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

How do I add an internal note to a ticket that the customer won't see?

Use the send_message action. Provide the Ticket ID and your text, and set the internal parameter to 'true'. This will log the message as a private note for your team.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Triggering Trengo via Natural Language

Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Trengo MCP server to manage operations across the following domains.

AI Semantic Routing for omnichannel inbox

Integrate omnichannel inbox features into your LLM framework using Trengo. The MCP server ensures precise command execution across your communication messaging stack.

Autonomous helpdesk ticketing Strategies

The Trengo integration allows Cursor and ChatGPT to securely fetch helpdesk ticketing data. It handles the API requests required for communication messaging operations.