How to Use the Cobot MCP in CrewAI

Deploy autonomous agent crews to manage your coworking operations using the Cobot MCP server.

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Connect Cobot MCP to CrewAI

Create your Vinkius account to connect Cobot 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 Cobot with CrewAI

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CrewAI manages Cobot resources autonomously

Assign a desk-manager agent to monitor `list_space_resources`. Your crew tracks availability and reallocates space without your input. When a conflict occurs, the agents negotiate using shared memory. You define the goals, and the crew handles the scheduling.

Automate Cobot membership tasks with CrewAI

Create a support agent that uses `get_membership_details` to resolve user inquiries. The agent retrieves the necessary record and crafts a response. Your team focuses on the community while the crew handles the database lookups. The agents stay in sync with the current member list.

Run Cobot invoice audits in CrewAI crews

Task an auditor agent with calling `list_cobot_invoices` to flag payment issues. The crew identifies patterns and reports discrepancies to your admins. Manual oversight becomes a thing of the past. Your agents maintain the records and keep your finances organized.

Setup guide

Set up Cobot 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 Cobot tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Cobot 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 Cobot. 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 Cobot MCP in CrewAI

Your crew can execute multiple tool calls simultaneously depending on your agent configuration. Each member of the crew accesses the server independently.

Yes, you assign specific tools to specific agents. The desk-manager gets booking tools while the accountant agent gets invoice access.

You pass the server URL to the agent's MCP configuration. The framework handles the connection and tool discovery automatically.

The server provides a sandboxed environment for your crew. Every tool call is isolated, ensuring agents only see what they need.

The tools only return the specific fields for active memberships. Your agents never get access to raw, sensitive PII beyond what is required for the task.

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