How to Use the Tock Reservations MCP in AutoGen

Drive consensus decisions on Tock Reservations using AutoGen agents.

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Connect Tock Reservations MCP to AutoGen

Create your Vinkius account to connect Tock Reservations 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 Tock Reservations with AutoGen

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Perplexity

Multi-Agent Conflict Resolution with MCP Server

Imagine a scenario where one agent checks `get_tock_account_metadata` and reports rate limits, while another tries to pull data using `list_business_reservations`. AutoGen agents can debate these conflicting pieces of information to determine the safest path forward.

Complex Guest Profile Management with AutoGen

Building a system where different roles are needed? One agent checks all registered people using `list_business_guests`. A second agent then uses `get_reservation_details` to verify that the guest exists and is active for the booking. They negotiate the final confirmation.

Full Business Lifecycle Audits with AutoGen

You can set up a multi-agent conversation to audit a business's entire status. Agent A gets general details via `get_business_detailed_data`. Agent B checks the revenue performance using `get_business_performance_metrics`, and they debate which metrics are most relevant for the executive summary.

Setup guide

Set up Tock Reservations 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 Tock Reservations 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="Tock Reservations_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

AutoGen agents don't just execute; they deliberate. If you need to book, one agent might check `list_future_scheduled_reservations`, and a second agent challenges that list by checking availability via other tools until consensus is reached.

Absolutely. You can assign specialized agents: one focuses only on retrieving `get_business_performance_metrics`, and a second agent critiques the data, flagging potential dips or spikes for your review.

Yes. You can set up agents to manage events: one lists all special pop-ups using `list_business_special_events`, and another agent verifies the operational details for each date before confirming the plan.

It touches reservation content, guest profiles, and business metrics. You can use these varied tools to get a holistic view that multiple AutoGen agents can debate and confirm together.

You prompt your system for an audit, and the competing agents will run `quick_hospitality_volume_audit` while simultaneously calling other tools to verify details. The final output is a consensus report.

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