How to Use the Boathouse Connect MCP in CrewAI

Q: How to limit which tools Boathouse Connect gives to CrewAI?

Use the toolfilter in your agent setup. This ensures your CrewAI agents only see the specific marina functions they need to perform their role.

Coordinate specialized marina crews in CrewAI to manage reservations and facility maintenance.

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Connect Boathouse Connect MCP to CrewAI

Create your Vinkius account to connect Boathouse Connect 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 Boathouse Connect with CrewAI

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Multi-agent marina scheduling for CrewAI

Assign a reservation agent to run `list_reservations` while a second agent evaluates the schedule using `list_schedules`. Your CrewAI team collaborates to find the best slip for incoming requests. This specialization allows one agent to handle the data fetching while the other handles the decision-making. The process runs sequentially or hierarchically based on your configuration.

Automated equipment monitoring for CrewAI

Deploy a monitor agent to periodically call `list_equipment` and report status to a coordinator agent. This team tracks maintenance needs across all locations without you touching a single terminal. It keeps the facility running by identifying issues in real-time. The agents act on the data immediately, ensuring maintenance follows your specific logic.

Member support crews in CrewAI

Your agents use `list_users` to verify member identity and `get_user` to pull contact details during support tasks. You can build a crew that researches the member history before the human-facing agent responds. This gives your team a full view of the customer record before they ever make a move. It turns raw data into actionable context for your operations.

Setup guide

Set up Boathouse Connect 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 Boathouse Connect tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add the server URL to your agent configuration in CrewAI. The agents will then gain access to the marina tools for their assigned tasks.

Yes, the framework allows agents to share memory. Once one agent retrieves equipment details, the rest of your CrewAI team can use that information.

It does. You can set your CrewAI team to run loops that monitor marina schedules and create new reservations without any human intervention.

Use the tool_filter in your agent setup. This ensures your CrewAI agents only see the specific marina functions they need to perform their role.

We use a hardened sandbox for every session. No other process can access the member records or reservation logs that pass between the server and your CrewAI agents.

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