How to Use the SevenRooms MCP in AutoGen

Q: How does SevenRooms and AutoGen handle guest profiles?

The agents debate the best way to use getguest data. One agent might argue for checking loyalty status, while another argues for simply verifying contact info before making a booking change.

Q: What does AutoGen use to list current reservations?

The agents debate the scope of listreservations. One may argue that only 'today' matters, while a second agent pushes for checking future dates as well.

Q: Does AutoGen help with SevenRooms event scheduling?

You can build an agreement process where agents use listevents to compare pricing and capacity. They debate whether the cost of a large group reservation justifies the lost revenue from smaller parties.

Q: If I need to check data privacy in SevenRooms and AutoGen, what information is touched?

The server touches guest profile data (getguest). The agents debate who has the authority to access this sensitive PII, simulating necessary internal approval workflows.

Run multi-agent debates and consensus decisions using AutoGen.

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Connect SevenRooms MCP to AutoGen

Create your Vinkius account to connect SevenRooms to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SevenRooms with AutoGen

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Resolve booking conflicts between revenue goals and guest experience.

Set up a debate. One agent can use `check_availability` to maximize seat count for immediate profit, while another uses `get_guest` data to prioritize known VIPs. The agents must argue until they agree on the optimal seating plan. The final consensus decision is a balanced recommendation that considers both metrics.

Determine overall venue capacity across multiple locations.

You initialize two agents: one for operations, one for finance. The Ops agent calls `list_venues` and then `check_availability`. The Finance agent uses the resulting data to calculate potential revenue loss if specific tables are reserved. The debate resolves into a recommended action that minimizes financial risk while maintaining flow.

Manage waitlists through simulated staffing discussions.

Run a simulation where agents debate host protocols. One agent uses `list_waitlist` to see the current queue length, and another uses `get_reservation` data to check if any waiting guests are actually confirmed for an earlier time. The output is not just a list; it's a negotiated, revised operational procedure.

Setup guide

Set up SevenRooms 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 SevenRooms 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="SevenRooms_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

The agents debate the *best way* to use `get_guest` data. One agent might argue for checking loyalty status, while another argues for simply verifying contact info before making a booking change.

Yes. You can set up agents to debate the optimal time to check `check_availability`—one agent might suggest checking during off-peak hours for better data, while another insists on real-time checks.

The agents debate the scope of `list_reservations`. One may argue that only 'today' matters, while a second agent pushes for checking future dates as well.

You can build an agreement process where agents use `list_events` to compare pricing and capacity. They debate whether the cost of a large group reservation justifies the lost revenue from smaller parties.

The server touches guest profile data (`get_guest`). The agents debate who has the authority to access this sensitive PII, simulating necessary internal approval workflows.

Use it with your favorite AI tools

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