How to Use the Bookeo MCP in AutoGen

Let your AutoGen agents debate and execute Bookeo tasks based on consensus.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bookeo MCP to AutoGen

Create your Vinkius account to connect Bookeo 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.

GDPR Free for Subscribers

Setup Bookeo with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate Bookeo tasks in AutoGen

Assign `list_payments` to a financial agent and `list_bookings` to an operations agent. They debate the revenue trends, with each agent challenging the other's interpretation of the data. This settles complex questions through internal negotiation. You get a final report that reflects a balanced view of your business performance.

Consensus-based booking management

Use `search_customers` as a source of truth for your agents. When an agent proposes a new booking, the other agents verify the history against the provided customer data. This prevents errors. An action is only executed if the agents agree the data supports the requested change.

Agent-driven workflow negotiation

Configure an agent to request `list_webhooks` and another to monitor the output. They negotiate whether current configurations meet your security requirements. This creates a self-correcting system. The agents identify gaps in your setup and propose adjustments without you needing to supervise every interaction.

Setup guide

Set up Bookeo 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 Bookeo 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="Bookeo_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Bookeo 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 Bookeo. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Bookeo now

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 Bookeo MCP in AutoGen

Map the server tools to your agent's function list. AutoGen automatically handles the schema conversion, allowing your agents to invoke them during conversation.

Multiple agents can be assigned the same tool set. They decide which one calls the tool based on their specific role and the current context of the debate.

If a tool call fails, the agent reports the error back to the group. The other agents then adjust their strategy or attempt a different approach to resolve the task.

You restrict access by assigning specific tools to individual agents. Only the agents with the required permissions can invoke booking or payment operations.

The server uses a single-token authentication model, and data is scoped only to the active agent session. We use ephemeral memory buffers to ensure sensitive profiles disappear once the conversation ends.

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

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript