ezyVet MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ezyVet through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ezyVet Assistant",
instructions=(
"You help users interact with ezyVet. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ezyVet"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 12 tools from ezyVet through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ezyVet, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the ezyVet MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from ezyVet
Why Use OpenAI Agents SDK with the ezyVet MCP Server
OpenAI Agents SDK provides unique advantages when paired with ezyVet through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ezyVet + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ezyVet MCP Server delivers measurable value.
Automated workflows: build agents that query ezyVet, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ezyVet, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ezyVet tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ezyVet to resolve tickets, look up records, and update statuses without human intervention
ezyVet MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect ezyVet to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting ezyVet to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ezyVet + OpenAI Agents SDK FAQ
Common questions about integrating ezyVet MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.