How to Use the EasyPractice MCP in AutoGen

Q: How do I register EasyPractice tools in AutoGen?

Install autogen-extmcp and use mcpservertools with your Vinkius HTTP transport parameters. Pass the resulting tool list directly into your AssistantAgent constructor.

Let your AutoGen agents debate and coordinate clinic scheduling and billing tasks autonomously.

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Connect EasyPractice MCP to AutoGen

Create your Vinkius account to connect EasyPractice 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 EasyPractice with AutoGen

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Resolve scheduling conflicts via agent debate

Set up a multi-agent system where one agent manages client requests and another guards the calendar. The scheduling guard agent calls `list_clinic_appointments` to verify availability, while the client agent uses `get_client_details` to check client preferences. They debate the best slot in the chat. If a conflict occurs, they negotiate a resolution using `list_clinic_services` to find alternative appointment types, ensuring no double-bookings ever reach your actual calendar.

Audit billing accuracy with AutoGen MCP Server tools

Run an autonomous financial audit of your clinic. A billing agent pulls your records using `list_clinic_invoices`, while an operations agent checks the schedule via `quick_clinic_volume_audit`. The two agents compare notes to ensure every completed appointment has a corresponding invoice. If they find a discrepancy, they flag the specific client ID for human review, keeping your clinic's books clean without manual Excel work.

Coordinate new client onboarding autonomously

Manage new client intake through collaborative agent workflows. One agent searches for existing records using `search_clinic_clients` to prevent duplicate profiles, while another reviews the latest bookings via `list_latest_appointments`. If the client is new, the agents coordinate to draft an onboarding plan based on the appointment details fetched by `get_appointment_details`. They verify everything is in order before notifying your front desk.

Setup guide

Set up EasyPractice 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 EasyPractice 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="EasyPractice_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent EasyPractice 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="EasyPractice_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent EasyPractice 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 EasyPractice. 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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Common questions about EasyPractice MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius HTTP transport parameters. Pass the resulting tool list directly into your `AssistantAgent` constructor.

Yes, different agents in your group chat can invoke tools like `list_clinic_appointments` and `list_clinic_invoices` simultaneously to gather data for their debate.

AutoGen's conversational loop allows agents to read error messages returned by the MCP Server. If a tool call fails, the executing agent can ask its peers for clarification or retry with corrected parameters.

Yes, the adapter supports both standard I/O and streamable HTTP connections, allowing you to connect to your hosted Vinkius endpoint easily.

All communication with the EasyPractice API goes through Vinkius's zero-trust MCP sandbox. Your clinic appointments, client profiles, and invoices are transmitted via secure, ephemeral connections, ensuring your local AutoGen agents only access what they need.

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