How to Use the Tray.io MCP in Vercel AI SDK

Q: Can I use Vercel AI SDK to list all workflows in Tray.io?

Yep. You just pass the listworkflows tool to your agent. It handles calling the MCP Server and delivering the full account list of automations right into your streaming UI.

Q: When using Vercel AI SDK, how do I track execution status in Tray.io?

You use listworkflowexecutions to get a history of recent runs. This gives you visibility into whether an automation succeeded or failed within your MCP Server calls.

Q: Does the MCP Server support listing connectors for Vercel AI SDK?

Yes, you run listavailableconnectors to see all integrated services. Your agent uses this list to understand what external systems are available to build automations in Tray.io.

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Connect Tray.io MCP to Vercel AI SDK

Create your Vinkius account to connect Tray.io 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 Tray.io with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get user context immediately

The `get_authenticated_user` tool retrieves details about the currently logged-in person. You can pull this account information right away, which is essential if you need to personalize responses based on who's interacting with your app. This direct access means the user sees data appearing in real time as your agent pulls context from Tray.io.

Monitor all active automations

Want to check what automations are running? Call `list_workflows` first. You'll get a list of every defined automation in the account, so you know exactly where to look next. Need more detail? Use `get_workflow_details` to pull specific information about one workflow, allowing your agent to understand its exact function and scope.

Discover all connectors and templates

Integrating services is straightforward. Running `list_available_connectors` shows everything—Salesforce, Slack, etc.—that can connect to Tray.io. This gives your agent a full map of possible data sources. You also use `list_integration_solutions` to find pre-built templates for setup, letting you quickly wire up complex systems without writing boilerplate code.

Setup guide

Set up Tray.io 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 Tray.io 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 Tray.io transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tray.io. 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 Tray.io MCP in Vercel AI SDK

The Vercel AI SDK calls MCP tools directly when needed, ensuring that your agent fetches live data from Tray.io. Because results stream into the UI, users see data appear immediately rather than waiting for a loading spinner.

Yep. You just pass the `list_workflows` tool to your agent. It handles calling the MCP Server and delivering the full account list of automations right into your streaming UI.

You use `list_workflow_executions` to get a history of recent runs. This gives you visibility into whether an automation succeeded or failed within your MCP Server calls.

The Vercel AI SDK primarily interacts with user details when calling `get_authenticated_user`. This function pulls basic account information about who is using your application.

Yes, you run `list_available_connectors` to see all integrated services. Your agent uses this list to understand what external systems are available to build automations in Tray.io.

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