How to Use the ezyVet MCP in Mastra AI

Q: Where does my ezyVet patient and financial data go when using Mastra AI?

Data fetched via getanimal and getinvoice passes straight to your local Mastra execution environment. The Vinkius MCP Server acts as a zero-trust proxy and never logs your clinical data.

Build automated vet workflows with Mastra AI and query ezyVet patient records with full error-recovery.

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Connect ezyVet MCP to Mastra AI

Create your Vinkius account to connect ezyVet 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 ezyVet with Mastra AI

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Build resilient booking workflows with Mastra AI

The `list_appointments` tool scans your clinic calendar to find open slots or conflicts. Mastra AI uses this MCP Server inside its workflow engine to trigger follow-up tasks when a booking is found. If the ezyVet API hits a rate limit, the built-in backoff engine automatically retries the call. You get reliable schedule checks without writing custom retry loops.

Process consult notes with conditional branching

The `list_consults` tool retrieves recent vet sessions for automated review. Mastra AI routes these notes through conditional steps, checking if specific follow-ups are needed. The agent uses `get_consult` to pull deep clinical details. If a note mentions a specific treatment, the workflow triggers an alert to update the patient's record.

Manage clinic contacts with human-in-the-loop steps

The `list_contacts` tool retrieves owner and supplier profiles from your database. You use this to verify contact details before sending automated billing alerts. Set the tool approval flag to pause the workflow before fetching sensitive data via `get_contact`. This keeps a human in control of private client details.

Setup guide

Set up ezyVet 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 ezyVet 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: "ezyvet-mcp-client",
  servers: {
    "ezyvet-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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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 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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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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 Mastra AI

Instantiate the client with your Vinkius server URL. Register the client in your Mastra agent config, and spread the tools directly into the agent's tool array.

Yes. Mastra AI uses automatic exponential backoff when querying tools like `list_animals` or `list_invoices` to prevent workflow failures during peak clinic hours.

Use Mastra's built-in human-in-the-loop features. You can require manual approval before your agent executes tools like `get_invoice` or `get_contact`.

It supports both Streamable HTTP and SSE. Mastra AI automatically detects the transport type from the Vinkius endpoint URL.

Data fetched via `get_animal` and `get_invoice` passes straight to your local Mastra execution environment. The Vinkius MCP Server acts as a zero-trust proxy and never logs your clinical data.

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