How to Use the ezyVet MCP in Vercel AI SDK

Q: How do I set up the ezyVet MCP Server with Vercel AI SDK?

Install @ai-sdk/mcp and ai via npm. Initialize the client using createMCPClient with the Vinkius HTTP transport URL, then pass the tools directly to your text generator.

Q: Can I stream live clinic schedules using ezyVet and Vercel AI SDK?

Yes. The listappointments tool pulls the clinic schedule, and the SDK streams these appointments directly to your UI so staff see bookings update in real-time.

Q: Can I filter product lists using these tools?

Yes. Use listproducts to pull the inventory catalog. Your AI client filters this list to show specific items or check stock levels.

Stream ezyVet animal records and billing data directly into your React frontends in real-time with the Vercel AI SDK.

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…and any MCP-compatible client

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Connect ezyVet MCP to Vercel AI SDK

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

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Claude

Perplexity

Stream patient charts to your UI with Vercel AI SDK

The `list_animals` tool pulls patient files directly into your application state. Your AI client calls this tool and streams the animal's age, breed, and medical history straight to the browser. Instead of waiting for a full API payload, users watch the patient details populate line by line. This MCP Server keeps your frontend snappy by letting you use `get_animal` to grab specific patient profiles without freezing the user interface.

Fetch and display clinical consults instantly

The `get_consult` tool retrieves vet clinical notes and diagnoses. When a vet requests a summary, this MCP Server streams the text block directly into your custom editor. You don't deal with lagging loaders. The backend fetches active clinical logs via `list_consults` and feeds them straight into the Vercel AI SDK stream.

Render client invoices without page reloads

The `get_invoice` tool brings financial data directly to your frontend components. Your interface calls this tool to display line items and outstanding balances. You query billing history with `list_invoices` to build live-updating billing dashboards. Customers see what they owe the second the AI pulls the record.

Setup guide

Set up ezyVet 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 ezyVet 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 ezyVet 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 ezyVet. 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

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

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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 ezyVet MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and `ai` via npm. Initialize the client using `createMCPClient` with the Vinkius HTTP transport URL, then pass the tools directly to your text generator.

Yes. The `list_appointments` tool pulls the clinic schedule, and the SDK streams these appointments directly to your UI so staff see bookings update in real-time.

Vinkius handles the API credentials. You pass a single endpoint token in your setup, or use the built-in OAuth support via the SDK's auth provider.

Yes. Use `list_products` to pull the inventory catalog. Your AI client filters this list to show specific items or check stock levels.

This MCP Server runs in an isolated V8 sandbox, passing only the requested `get_invoice` or `get_animal` data to your local runtime. No patient records or billing files are stored on Vinkius servers.

Use it with your favorite AI tools

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