How to Use the ezyVet MCP in Google ADK

Q: Can I restrict tools for my Google ADK agent?

Yes. Use the toolnames filter to whitelist only what the agent needs. This limits the blast radius and keeps your implementation locked down.

Connect your Google ADK enterprise agents to live clinical data with the ezyVet MCP Server.

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Connect ezyVet MCP to Google ADK

Create your Vinkius account to connect ezyVet to Google ADK 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 Google ADK

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Direct clinical data access

Link your Google ADK environment to your practice management system. Tools like `get_consult` pull detailed medical notes into your agent's reasoning loop. This bridges the gap between your cloud infrastructure and your physical clinic. Your agents now act on current patient information.

Sync patient history with Google ADK

Query your entire patient database using `list_animals`. Your agents can now cross-reference records against other data sources in your Google Cloud ecosystem. This is about scale. By bringing ezyVet records into the ADK framework, you build agents that understand the full context of a patient's health.

Manage appointments with ease

Use `list_appointments` to feed your scheduling agents real-time updates. The agent identifies patterns in your daily load and assists in daily planning. It works because the server keeps the data fresh. Your agent spends less time searching and more time managing the clinic's flow.

Setup guide

Set up ezyVet MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with ezyVet tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="ezyVet_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ezyVet tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Install the server using standard HTTP transports. The McpToolset class maps the ezyVet tools into your agent definition so they are ready to call.

Yes. Use the tool_names filter to whitelist only what the agent needs. This limits the blast radius and keeps your implementation locked down.

Once your agent retrieves data via the server, you can pipe it directly into your existing BigQuery workflows. It makes your clinical data actionable.

The server manages the connection, and your agent can handle async calls. You can tune your timeouts to ensure the agent stays responsive.

We enforce strict read-only access for your agents. Only specific, authorized clinical fields are exposed, and all transit is encrypted by default.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python