How to Use the SimplyBook.me MCP in AutoGen

AutoGen: Running multi-agent debates to resolve complex SimplyBook.me scheduling conflicts.

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Setup SimplyBook.me with AutoGen

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Conflict Resolution Scheduling

Booking sometimes requires negotiation—the system needs to decide between cost and time, for example. You set up agents (like a 'Scheduling Agent' and an 'Inventory Agent') that debate the optimal booking path using `get_work_calendar` and `list_services`. They challenge each other until they reach a consensus on a valid appointment. This simulates human decision-making where multiple perspectives must agree before calling `create_booking`. It’s perfect for complex resource allocation.

Multi-Role Client Verification

Don't just list clients. Have a group of agents verify the booking request. A 'Security Agent' checks credentials using `list_clients`, while a 'Service Agent' cross-references required services via `list_services`. They must all agree that the client is valid and the service is appropriate before proceeding. This multi-agent discussion confirms integrity across multiple tool calls, making it ideal for high-stakes scheduling decisions.

Iterative Booking Refinement

The goal isn't just to book; it’s to optimize. Agents can debate changes: one agent suggests `update_booking` because the initial time is bad, and another validates if a new unit is available using `list_units`. They argue until the best outcome is agreed upon. This iterative process handles edge cases better than single-threaded logic, giving you reliable results even when inputs are messy.

Setup guide

Set up SimplyBook.me 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 SimplyBook.me 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="SimplyBook.me_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="SimplyBook.me_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent SimplyBook.me 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 SimplyBook.me. 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 SimplyBook.me MCP in AutoGen

AutoGen allows multiple specialized agents to interact with the MCP Server simultaneously. Instead of a linear script, the agents debate which tool—like `list_bookings` or `get_work_calendar`—is needed next to resolve a scheduling conflict.

Yes. You can create agents that are responsible for different tasks, such as one agent handling `list_clients` data and another managing the final booking via `create_booking`. They collaborate to ensure all requirements are met.

It excels at it. You can program agents to negotiate resource conflicts, such as needing three specific units available on the same day, ensuring consensus before attempting to `update_booking`.

The framework supports error handling through deliberation. Agents can be tasked with debating failure modes—for example, one agent flags a potential API timeout while another suggests fallbacks using `list_units`.

The agents interact with scheduling and client booking details. The primary sensitive data types handled are service IDs, unit identifiers, and specific appointment times found in `get_booking_details`.

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