ezyVet MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ezyVet through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using ezyVet, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ezyVet MCP Server
Connect your ezyVet Practice Management account to any AI agent and take full control of your clinical workflows through natural conversation.
The Vercel AI SDK gives every ezyVet tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Animal & Patient Records — List and fetch detailed records for animals (patients) including breed and status
- Appointment Scheduling — Query upcoming appointments and check schedule availability directly from the cloud
- Clinical Consults — Access and inspect clinical data and consult history for any patient
- Financial Billing — List and inspect invoices to track payments and practice revenue
- Contact Management — Manage details for clients (owners), suppliers, and staff contacts
- Inventory & Products — List products available in your practice's inventory catalog
The ezyVet MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ezyVet to Vercel AI SDK via MCP
Follow these steps to integrate the ezyVet MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from ezyVet and passes them to the LLM
Why Use Vercel AI SDK with the ezyVet MCP Server
Vercel AI SDK provides unique advantages when paired with ezyVet through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ezyVet integration everywhere
Built-in streaming UI primitives let you display ezyVet tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ezyVet + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ezyVet MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ezyVet in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ezyVet tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ezyVet capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ezyVet through natural language queries
ezyVet MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect ezyVet to Vercel AI SDK via MCP:
get_animal
Get a specific ezyVet animal by ID
get_appointment
Get a specific ezyVet appointment by ID
get_consult
Get a specific ezyVet consult by ID
get_contact
Get a specific ezyVet contact by ID
get_invoice
Get a specific ezyVet invoice by ID
get_me
Get current ezyVet user profile
list_animals
List all ezyVet animals (patients)
list_appointments
List all ezyVet appointments
list_consults
List all ezyVet consults
list_contacts
List all ezyVet contacts (clients/suppliers)
list_invoices
List all ezyVet invoices
list_products
List all ezyVet products
Example Prompts for ezyVet in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ezyVet immediately.
"List all patients (animals) registered in the system."
"Check today's appointments."
"List the most recent invoices."
Troubleshooting ezyVet MCP Server with Vercel AI SDK
Common issues when connecting ezyVet to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpezyVet + Vercel AI SDK FAQ
Common questions about integrating ezyVet MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect ezyVet with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ezyVet to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.