How to Use the ezyVet MCP in AutoGen

Enable multi-agent debate in AutoGen using real-time ezyVet clinical data.

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Connect ezyVet MCP to AutoGen

Create your Vinkius account to connect ezyVet to AutoGen 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 AutoGen

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Perplexity

Debate ezyVet records in AutoGen

Assign one agent to fetch data with `get_consult` and another to analyze the findings. The agents discuss the patient history and reach a consensus on the next steps. This is ideal for complex clinical reviews. You get the benefit of multiple perspectives before any final decision is made.

Negotiate using ezyVet API tools

Your agents can challenge each other based on the data retrieved from `list_appointments`. If one agent identifies a scheduling conflict, the other must propose a fix. This automated negotiation saves you time. It ensures that every appointment or invoice discrepancy is vetted by multiple logic layers.

Schema-ready MCP integration

The adapter handles the heavy lifting of converting tool schemas for your agents. You pass the tools to the constructor, and they are ready for the conversation. This keeps your code clean and focused. You spend your time defining agent roles rather than writing boilerplate for API connections.

Setup guide

Set up ezyVet MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes ezyVet tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="ezyVet_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ezyVet data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="ezyVet_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ezyVet data")
    print(result.messages[-1].content)

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.

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Common questions about ezyVet MCP in AutoGen

Use the MCP tool adapter to wrap the server. Then, pass the resulting tool list directly to your assistant agents.

Yes, that is the point of the framework. Agents can debate the validity of a consult record before settling on a conclusion.

The server supports both stdio and HTTP transports. This ensures your agents maintain a reliable connection to the clinical data.

You control which tools each agent can access. You can limit an agent to read-only tools like `list_products` while restricting others.

The system uses an ephemeral sandbox for every request. No patient records are stored, and access is restricted to the specific token provided for the session.

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