How to Use the FareHarbor MCP in CrewAI

Q: How does the crew handle multiple tour companies?

The crew uses listcompanies to identify all authorized operators. It then iterates through each company to fetch items and manage bookings independently.

Coordinate specialized agent teams to monitor, verify, and execute FareHarbor tour bookings autonomously in CrewAI.

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Connect FareHarbor MCP to CrewAI

Create your Vinkius account to connect FareHarbor 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 FareHarbor with CrewAI

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Role-based booking execution in CrewAI

Splitting operations between `list_availabilities_by_range` and `create_booking` lets you run specialized research and execution agents in tandem. With this MCP Server, you assign one agent to scan schedules while a separate booking agent handles the transaction. This division of labor prevents race conditions. The researching agent passes verified slots to the booking agent, who completes the transaction using precise customer data.

Autonomous inventory reconciliation

Triggering daily audits with `list_items` and `list_bookings` lets your supervisor agent catch overbookings without manual database checks. A CrewAI supervisor agent can trigger daily runs using this MCP integration to fetch all active tours and match them against current reservations. If the crew detects an overbooking or a closed date, it flags the issue and emails the operator. The crew manages the entire audit pipeline without human intervention.

Automated lodging and pickup coordination

Pulling pickup details via `list_lodgings` gives your agents the exact coordinates needed to match tourists with local pickup points. This MCP Server lets your CrewAI agents use live lodging lists to cross-reference customer hotel addresses with authorized pickup points. The agent analyzes the coordinates, selects the nearest pickup location, and updates the booking via the appropriate tools. This ensures tourists always get accurate pickup instructions.

Setup guide

Set up FareHarbor 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 FareHarbor tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent FareHarbor transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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

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

No, this server does not expose update tools. The agent can retrieve details using `get_booking` or list recent entries via `list_bookings` to verify reservation status.

Agents share data through CrewAI's memory system. One agent queries `get_availability` and stores the slot details in shared memory for the booking agent to use.

Yes, you can filter tools during setup. You can give your research agent access to `list_items` while restricting `create_booking` to your execution agent.

The crew uses `list_companies` to identify all authorized operators. It then iterates through each company to fetch items and manage bookings independently.

All customer names, emails, and booking details processed by the MCP tools are handled in memory. No data is stored on CrewAI's servers, and the Vinkius sandbox ensures ephemeral execution.

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