How to Use the Trengo MCP in Mastra AI

Q: Can Mastra AI list contacts in Trengo?

Yes. The listcontacts tool lets your agent fetch all stored contact information. This data feeds into workflows that need to know who they're talking to before sending a message.

Q: What is the best way to manage Trengo webhooks with Mastra AI?

You use listwebhooks to see what already exists, and then createwebhook to set up new triggers. The workflow can even monitor these webhooks for changes.

Q: Does Trengo support message retrieval using Mastra AI?

Absolutely. You use listmessages to pull the history. Because Mastra AI is a workflow engine, you can build conditional logic around that history—for instance, only reading messages if the ticket status hasn't changed in 48 hours.

Build fault-tolerant, multi-step Trengo workflows using Mastra AI.

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Connect Trengo MCP to Mastra AI

Create your Vinkius account to connect Trengo to Mastra AI 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 Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Handle complex messaging sequences.

The `send_message` tool lets your agent write a message, but the power is in the workflow. You can build logic that says: 'If X fails, then wait 5 minutes and retry with Y.' Mastra AI handles these retries automatically using exponential backoff, so you don't have to code for every failure case.

Retrieve comprehensive user profiles.

Use `get_account_profile` when your agent needs context about the system user. This lets your workflow know who it is acting on behalf of, which is critical for auditing and security. It's reliable state information that keeps complex pipelines running smoothly from start to finish.

Monitor all existing support tickets.

The `list_tickets` tool gives your workflow a full manifest of every open ticket. You can check statuses, priorities, and assignment details for the entire team. This allows you to build an automatic triage system that routes tickets based on complex rules.

Setup guide

Set up Trengo MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Trengo tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "trengo-mcp-client",
  servers: {
    "trengo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Trengo Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Trengo tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Trengo transactions"
);
console.log(result.text);

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Common questions about Trengo MCP in Mastra AI

You can chain together actions. For example, the workflow might first `get_ticket` details, then check if a payment was made, and finally `update_ticket` status only if the condition is met.

Yes. The `list_contacts` tool lets your agent fetch all stored contact information. This data feeds into workflows that need to know who they're talking to before sending a message.

You use `list_webhooks` to see what already exists, and then `create_webhook` to set up new triggers. The workflow can even monitor these webhooks for changes.

Absolutely. You use `list_messages` to pull the history. Because Mastra AI is a workflow engine, you can build conditional logic around that history—for instance, only reading messages if the ticket status hasn't changed in 48 hours.

This server primarily deals with operational metadata: ticket statuses, contact lists, and user account profiles. It handles structured business data rather than just free-form messages.

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