How to Use the Condeco (Eptura Engage) MCP in CrewAI

Q: Can CrewAI agents manage complex room schedules in Condeco (Eptura Engage)?

Yes, they use listrooms to find spaces and bookroom to claim them. Your CrewAI agents handle the logic, ensuring your office space matches your daily meeting load.

Q: Will my CrewAI agents track my desk bookings in Condeco (Eptura Engage)?

They monitor your reservations by running listbookings. If you need to verify where you are sitting, your CrewAI agents pull the data from the server and report back.

Stop hunting for a seat. Let your CrewAI agents handle room and desk bookings in Condeco (Eptura Engage) so your team stays focused.

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Connect Condeco (Eptura Engage) MCP to CrewAI

Create your Vinkius account to connect Condeco (Eptura Engage) 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 Condeco (Eptura Engage) with CrewAI

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Automate desk and room bookings for CrewAI

Your agents can claim specific hot desks using `book_desk` or lock down a meeting room with `book_room`. This keeps your office seating organized without you clicking through web portals. Since CrewAI uses specialized roles, you can assign an 'Office Manager' agent to handle these requests. It checks your schedule and secures the space automatically.

Sync physical presence with CrewAI workflows

Use `check_in_to_location` to trigger your access controls the moment you arrive. Your agents confirm your physical attendance against your digital calendar logs. This creates a tight feedback loop. When your agent knows you are checked in, it can update your status across other tools or notify your team that you are ready for calls.

Real-time occupancy tracking for CrewAI

Let your agents pull current usage data with `get_room_availability` and `list_desks`. They see exactly what is open before attempting to reserve a spot for the team. If plans change, use `cancel_desk_booking` or `cancel_room_booking` to free up space instantly. Your agents keep the office footprint accurate so no resources sit empty.

Setup guide

Set up Condeco (Eptura Engage) 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 Condeco (Eptura Engage) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Condeco (Eptura Engage) 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 Condeco. 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 Condeco (Eptura Engage) MCP in CrewAI

You pass the server URL directly into your agent's configuration using the mcps array. This links your CrewAI agents to the Condeco (Eptura Engage) tools immediately.

Yes, they use `list_rooms` to find spaces and `book_room` to claim them. Your CrewAI agents handle the logic, ensuring your office space matches your daily meeting load.

They monitor your reservations by running `list_bookings`. If you need to verify where you are sitting, your CrewAI agents pull the data from the server and report back.

It functions perfectly across any agent structure. Whether you have a single orchestrator or a massive team, your MCP server provides the tools needed to interact with office inventory.

Your booking logs and location data are handled through a secure, ephemeral session. We isolate your credentials and never store your personal office access history.

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