How to Use the Beds24 MCP in AutoGen

Q: How do AutoGen agents handle conflicting data from Beds24?

They debate the outcome. If getavailability shows a room is open but a booking agent finds a pending status via getbooking, they will discuss the discrepancy and ask for confirmation.

Deploy AutoGen agents to debate and manage your Beds24 bookings with zero manual intervention.

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Connect Beds24 MCP to AutoGen

Create your Vinkius account to connect Beds24 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 Beds24 with AutoGen

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Resolve Booking Conflicts Through Agent Debate

Let your agents negotiate reservation issues using this MCP setup. One agent can pull reservation records using `list_bookings` and `get_booking`, while another checks room status via `get_calendar`. If a double-booking occurs, the agents discuss options, verify alternative dates, and present a resolved plan. This consensus-driven approach prevents errors before they hit your main system.

Coordinate Property Updates Across Agents

Manage complex portfolios with specialized agents. Your system can assign one agent to audit rooms with `list_rooms` and `get_property`, while another reviews global property settings via `list_properties`. The agents cross-reference their findings to ensure no room is left unlisted. They coordinate their tasks automatically, sharing data payloads to keep your listings synchronized.

Verify Availability with the AutoGen MCP Server

Check your booking limits and room statuses. Your agents use `get_availability` to see what is open and `get_account` to verify subscription limits or account permissions. This MCP Server provides the raw data your agents need to make informed decisions. A security agent can block actions if the account status changes, keeping your operations safe.

Setup guide

Set up Beds24 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 Beds24 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="Beds24_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Beds24 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="Beds24_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Beds24 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 Beds24. 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 Beds24 MCP in AutoGen

Use the streamable HTTP server parameters to fetch the tools from the MCP Server. Pass the resulting list directly to your assistant agent constructor to give them access.

Yes, the server handles concurrent requests from different agents. Your booking agent can run `get_booking` while your audit agent checks `list_properties` in the same conversation.

They debate the outcome. If `get_availability` shows a room is open but a booking agent finds a pending status via `get_booking`, they will discuss the discrepancy and ask for confirmation.

Yes, the adapter handles both stdio and Streamable HTTP transports. You can run it locally or connect to our hosted endpoint with a single token.

Yes, you control exactly which tools are exposed to the agent group. Your session token is stored securely in an isolated vault, ensuring no agent can execute unapproved API calls.

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