How to Use the Tock Reservations MCP in CrewAI

Q: How does CrewAI handle Tock Reservations reservation listings?

You assign the listbusinessreservations tool to an agent. That agent gathers all the required data, and another agent processes that list, perhaps filtering it by status using the information from getreservationdetails. The crew manages this entire workflow.

Q: Can CrewAI check Tock Reservations account metadata?

Yes. One specialized agent is tasked solely with running gettockaccountmetadata. This provides the raw limits and credentials, which a monitoring agent then compares against current usage metrics.

Q: What do I need to know about Tock Reservations businesses using CrewAI?

You use the listmanagedbusinesses tool. A primary agent collects these IDs and passes them to a second agent, which then sequentially calls getbusinessdetaileddata for each one, building a complete record.

Run autonomous Tock Reservations operations using CrewAI's multi-agent teamwork.

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Create your Vinkius account to connect Tock Reservations to CrewAI 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 CrewAI

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Coordinating Reservation Audits

You don't just check one thing; you run a specialized crew. One agent calls `list_business_reservations` to get all bookings, while another uses `list_future_scheduled_reservations` to isolate future capacity gaps. The third agent synthesizes these two lists into an actionable report. This role-based specialization ensures that the audit is complete and doesn't miss any time periods.

Building Comprehensive Business Profiles

Assign a 'Data Collector' agent to pull all static information. This agent runs `get_business_detailed_data` for key settings, then another specialized agent pulls the metrics using `get_business_performance_metrics`. The shared memory combines both data streams into one master profile. The crew can also use `list_business_guests` to ensure all personnel records are included in the final dossier.

Managing Operational Schedules and Events

Need to know what's coming up? A 'Scheduling Agent' uses `list_business_special_events` to find pop-ups, while a separate agent monitors the directory using `list_managed_businesses`. The crew compares these two lists against each other to flag potential scheduling conflicts. This autonomous comparison prevents human error when coordinating multiple venues.

Setup guide

Set up Tock Reservations MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Tock Reservations tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Tock Reservations Analyst",
    goal="Access and analyze Tock Reservations data via MCP.",
    backstory="Expert analyst with direct Tock Reservations access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Tock Reservations transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Tock Reservations Analyst",
        goal="Access and analyze Tock Reservations data via MCP.",
        backstory="Expert analyst with direct Tock Reservations access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Tock Reservations transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

You assign the `list_business_reservations` tool to an agent. That agent gathers all the required data, and another agent processes that list, perhaps filtering it by status using the information from `get_reservation_details`. The crew manages this entire workflow.

Yes. One specialized agent is tasked solely with running `get_tock_account_metadata`. This provides the raw limits and credentials, which a monitoring agent then compares against current usage metrics.

You use the `list_managed_businesses` tool. A primary agent collects these IDs and passes them to a second agent, which then sequentially calls `get_business_detailed_data` for each one, building a complete record.

The server touches business metrics, guest profiles, reservation details, special event listings, and overall account metadata. The crew's strength is in accessing and cross-referencing these distinct data types.

You configure the crew to run a three-part task: Agent A calls `quick_hospitality_volume_audit`, Agent B uses `list_business_guests`, and Agent C combines the results. This guarantees a comprehensive, cross-referenced summary.

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