How to Use the Wuro MCP in Vercel AI SDK

Q: How do I search for Wuro details using Vercel AI SDK?

Just call getcontact with an ID. Because you're using the Vercel AI SDK, the contact data streams directly into your React component, skipping any loading spinner delays.

Q: What is the purpose of Wuro when building a client with Vercel AI SDK?

Wuro provides the backend tools—like listinvoices or createquote—that your Vercel AI SDK calls. You build user-facing products, and we handle the business logic.

Q: Can I list all employee records with Wuro using Vercel AI SDK?

Yes, you can call listemployees. The data streams through your connection, letting your client display a comprehensive roster of staff members without any noticeable delay.

Q: Does Wuro support fetching quotes using Vercel AI SDK?

Absolutely. You can use the getquote tool. This pulls existing estimates, and because you’re in a streaming environment, your user sees the quote details appear instantly.

Send real-time business data to your frontend with Vercel AI SDK.

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Connect Wuro MCP to Vercel AI SDK

Create your Vinkius account to connect Wuro 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 Wuro with Vercel AI SDK

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Stream Contact Data Live

The `get_contact` tool fetches specific customer details instantly. When you call it, the user sees the contact's name and ID appear on screen right away. You can also list every existing account using `list_contacts`. This lets your UI populate a dropdown menu with real-time results as the user types.

Create Invoices in Real Time

Use `create_invoice` to generate billing records. When this tool runs, the front end displays the new invoice ID and key line items immediately. If you need to calculate a quote first, run `create_quote`. This populates an estimate record that your user sees live before finalization.

Manage Product Lookups

`list_products` gives you the full catalog of available goods. Your agent uses this to populate product selection fields, showing users current inventory. Checking past transactions is easy with `list_purchases`. This tool streams historical data, letting your client show the user exactly what was bought previously.

Setup guide

Set up Wuro 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 Wuro 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 Wuro 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 Wuro. 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 Wuro MCP in Vercel AI SDK

Just call `get_contact` with an ID. Because you're using the Vercel AI SDK, the contact data streams directly into your React component, skipping any loading spinner delays.

Wuro provides the backend tools—like `list_invoices` or `create_quote`—that your Vercel AI SDK calls. You build user-facing products, and we handle the business logic.

Yes, you can call `list_employees`. The data streams through your connection, letting your client display a comprehensive roster of staff members without any noticeable delay.

The server touches contact details and invoice records. When you run `get_contact`, ensure your client handles PII (Personally Identifiable Information) according to your app's security rules.

Absolutely. You can use the `get_quote` tool. This pulls existing estimates, and because you’re in a streaming environment, your user sees the quote details appear instantly.

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