How to Use the Trengo MCP in Vercel AI SDK

Q: How do I check ticket history with Trengo using Vercel AI SDK?

You call listmessages and pass the relevant ticket ID. The results stream directly into your React or Next.js UI, showing the customer's full conversation thread in real-time.

Q: What data does Trengo expose when using Vercel AI SDK?

The MCP Server exposes ticket details, contact lists (listcontacts), and message history. Because of streaming, you get this information piece by piece as it's retrieved.

Q: Can Trengo update ticket status using Vercel AI SDK?

Yep. The updateticket tool lets your agent change the status of a ticket—say, moving it from 'Open' to 'Pending'. This action is visible instantly in your streamed UI.

Q: What triggers are available for Trengo with Vercel AI SDK?

You can create new webhooks using createwebhook. This tells the system exactly what kind of event should trigger an action, letting you connect it to other services.

See Trengo data stream live in your UI with Vercel AI SDK.

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Connect Trengo MCP to Vercel AI SDK

Create your Vinkius account to connect Trengo to Vercel AI SDK 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 Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Fetch real-time ticket details.

The `get_ticket` tool fetches all the necessary information for a specific support ticket. You get everything you need—from initial messages to current status—right when your user needs it. This lets you build frontends where users see data populating instantly, without waiting on spinners or manual refreshes.

List and manage communication channels.

Need to know which channels Trengo is connected to? Use `list_channels` to get a full overview of your active messaging sources. This helps you map out where conversations are happening. Your AI client can then use this list to inform the user, showing them exactly what services are available in the background.

Send messages programmatically.

Use `send_message` when your agent needs to talk to a customer. You pass the message text and the recipient ID, and it sends the notification through Trengo. This is perfect for building conversational tools that need to act immediately on behalf of the user.

Setup guide

Set up Trengo MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Trengo tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Trengo transactions",
});

console.log(text);
await mcpClient.close();

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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.

Why Choose Vinkius

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Common questions about Trengo MCP in Vercel AI SDK

You call `list_messages` and pass the relevant ticket ID. The results stream directly into your React or Next.js UI, showing the customer's full conversation thread in real-time.

The MCP Server exposes ticket details, contact lists (`list_contacts`), and message history. Because of streaming, you get this information piece by piece as it's retrieved.

Yep. The `update_ticket` tool lets your agent change the status of a ticket—say, moving it from 'Open' to 'Pending'. This action is visible instantly in your streamed UI.

You can create new webhooks using `create_webhook`. This tells the system exactly what kind of event should trigger an action, letting you connect it to other services.

This server touches customer message content. You'll be dealing with conversation threads and user communication histories.

Use it with your favorite AI tools

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

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