How to Use the Robin MCP in CrewAI

Q: Can CrewAI agents book Robin desks for multiple people at once?

Yes, your coordinator agent can run a loop calling reservedesk for each team member. The shared memory of the crew keeps track of who is assigned to which desk.

Q: How do agents handle missing office locations in Robin?

If a location isn't found, the agent uses listlocations to find the closest match. The crew's collaborative logic allows it to correct the user's input before trying to book.

Deploy a crew of specialized AI agents to manage your entire office layout and desk bookings autonomously with CrewAI.

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Connect Robin MCP to CrewAI

Create your Vinkius account to connect Robin 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 Robin with CrewAI

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Coordinate hybrid team seating using CrewAI

The `list_locations` tool allows your coordinator agent to map out where teams are working this week. A separate logistics agent then schedules the necessary workspaces. Using `reserve_desk`, the logistics agent books physical seats for the entire team in the same neighborhood. This multi-agent setup ensures teams sit together without manual coordination.

Manage conference rooms with this MCP Server

The `get_free_busy` tool lets your scheduler agent identify open time slots across multiple conference rooms. The agent constantly monitors these schedules to resolve booking conflicts. When a conflict occurs, a moderator agent uses `book_space` to move lower-priority meetings to alternative rooms. The agents coordinate these changes silently behind the scenes.

Audit physical office space usage automatically

The `list_space_events` tool provides your analyst agent with historical booking data via MCP for every meeting room. The agent reviews this data to spot underutilized rooms. If rooms are consistently empty, the agent triggers `cancel_desk_reservation` or flags the space for facilities. This keeps your office overhead aligned with actual daily attendance.

Setup guide

Set up Robin 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 Robin tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Robin 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="Robin Analyst",
        goal="Access and analyze Robin data via MCP.",
        backstory="Expert analyst with direct Robin access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Robin 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 Robin Workspace API. 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 Robin MCP in CrewAI

Pass the server URL directly in your Agent's mcps list. You can let your scheduler agent use `book_space` while keeping `list_desks` restricted to your floor-plan analyst agent.

Yes, your coordinator agent can run a loop calling `reserve_desk` for each team member. The shared memory of the crew keeps track of who is assigned to which desk.

The server runs over secure HTTP on the Vinkius platform. CrewAI connects to it using the MCPServerHTTP class, making it easy to run in your local environment or CI/CD pipelines.

If a location isn't found, the agent uses `list_locations` to find the closest match. The crew's collaborative logic allows it to correct the user's input before trying to book.

Your desk assignments and reservation records are protected by Vinkius's zero-trust MCP gateway. The data is processed ephemerally and is only accessible to the authorized CrewAI agents running your workflows.

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