How to Use the SevenRooms MCP in CrewAI

Q: How can CrewAI manage SevenRooms availability checks?

You assign an agent specifically to run checkavailability. This agent doesn't just read data; it compares current open tables against the capacity limits found via listvenues to determine true operational headroom.

Q: Is SevenRooms guest profile management suitable for CrewAI?

Yes. You can set up a 'Data Analyst' agent that uses searchguests. This agent is responsible for synthesizing the data from getguest and presenting it in structured reports.

Q: What if I need to check multiple SevenRooms reservations with CrewAI?

You can define a 'Booking Manager' role. This manager uses listreservations as its primary tool, ensuring that every booking is checked and reported on, regardless of which venue it belongs to.

Q: How does CrewAI handle multi-venue data for SevenRooms?

It’s built for groups. You can set up one agent to call listvenues, and then pass that resulting list to other agents, allowing them to run tools like listwaitlist across every single location.

Run autonomous SevenRooms operations using CrewAI.

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…and any MCP-compatible client

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Connect SevenRooms MCP to CrewAI

Create your Vinkius account to connect SevenRooms to CrewAI — 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 CrewAI

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Autonomous Availability Scouting

Instead of running one script, you assign specialized agents. Agent A uses `check_availability` to scan all venues for open tables. Agent B takes that raw data and compares it against historical demand patterns (from `list_events`) to give a final recommendation.

CRM Data Gathering Teams

Need to know more about a guest? Give two agents roles: one researches the profile using `get_guest`, and another checks for recent reservations using `get_reservation`. They collaborate, sharing memory until they build a complete picture of that patron's history.

Multi-Location Event Planning

You can create an agent 'Planner' which uses `list_venues` to find all locations. Then, another agent 'Coordinator' runs `list_events` on each location individually to build a single, comprehensive schedule for the entire group.

Setup guide

Set up SevenRooms 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 SevenRooms tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent SevenRooms 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 →

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="SevenRooms Analyst",
        goal="Access and analyze SevenRooms data via MCP.",
        backstory="Expert analyst with direct SevenRooms access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent SevenRooms 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 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 CrewAI

You assign an agent specifically to run `check_availability`. This agent doesn't just read data; it compares current open tables against the capacity limits found via `list_venues` to determine true operational headroom.

Yes. You can set up a 'Data Analyst' agent that uses `search_guests`. This agent is responsible for synthesizing the data from `get_guest` and presenting it in structured reports.

You can define a 'Booking Manager' role. This manager uses `list_reservations` as its primary tool, ensuring that every booking is checked and reported on, regardless of which venue it belongs to.

It’s built for groups. You can set up one agent to call `list_venues`, and then pass that resulting list to other agents, allowing them to run tools like `list_waitlist` across every single location.

The server provides reservation details, guest CRM information, waitlist status, and event listings. These are the core operational datasets that your autonomous crew needs to manage.

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