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How to Use the Trengo MCP in Claude

Manage all customer conversations from one shared inbox using Claude Desktop.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect Trengo MCP to Claude Desktop

Create your Vinkius account to connect Trengo to Claude Desktop 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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Access Live Support Data via the MCP Server

Get a full picture of support activity. You can pull lists of open tickets with `list_tickets`, check individual conversation histories using `get_ticket`, or even see who's on the team via `list_team_members`. This lets you understand exactly what conversations your agents are dealing with. It’s useful when you need context outside of a ticket. Use `list_contacts` to get all customer info, or use `get_account_profile` if you just want to verify the current user's details.

Handle Messages and Channels Directly

Need to communicate with a client immediately? Your agent can send a message directly using `send_message`. Beyond that, it manages where those messages live. You can list all active channels via `list_channels` or even create new ones with `create_webhook`, keeping your integrations up-to-date. Furthermore, you'll never lose track of an interaction. The tool allows you to update the ticket status using `update_ticket`, making sure the team knows if a conversation is open, pending, or resolved.

Manage Customer Conversations Across Platforms

The MCP Server handles conversations from email, chat, WhatsApp, and social media. You can create new support records with `create_ticket` when an inquiry comes in through any channel. This centralizes everything for the entire team. If you need to adjust how communications flow, you've got control over webhooks using `list_webhooks`. Running these tools lets your agent interact with Trengo as if it were sitting right on the local machine.

Setup guide

Set up Trengo MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Trengo MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Trengo MCP in Claude Desktop

You connect by adding a custom connector URL in your Claude Web settings or configuring the server path locally. This gives your agent direct access to Trengo's API tools, letting it interact with support data right inside the chat interface.
The server manages customer interactions across a full range of channels. That includes email, WhatsApp, general chat platforms, and various social media sources, all feeding into one shared team inbox.
Yep. The server lets you list tickets using `list_tickets` or drill down on specifics with `get_ticket`. This means your agent can pull live, actionable support details without you having to jump out of Claude.
Absolutely. If you’re using the native Desktop App, you can configure it to run tools as subprocesses on your machine, giving developers access to local resources alongside the remote API calls.
It touches customer communication and account profile details. Specifically, you're managing messages, ticket statuses, and accessing `account_profile` information for the user.

Start using the Trengo MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Trengo. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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