How to Use the Cabify MCP in CrewAI

Q: How do I expose the Cabify MCP Server to a CrewAI agent?

Pass your Vinkius server URL directly into the agent's mcps parameter. For granular control, use MCPServerHTTP from the crewai.mcp package to filter which tools each agent can access.

Q: Can CrewAI agents use this MCP Server to compare ride prices before booking?

Yes. Your financial planning agent can call getpriceestimate to compare costs across different Cabify tiers before authorizing the booking agent to request the ride.

Deploy autonomous agent crews to coordinate corporate travel and logistics using CrewAI and Cabify.

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Connect Cabify MCP to CrewAI

Create your Vinkius account to connect Cabify 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 Cabify with CrewAI

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Coordinate corporate travel with CrewAI teams

The `get_available_products` tool allows your logistics agent to query available vehicle tiers and capacities at any coordinate. In a CrewAI setup, this agent works alongside a scheduling agent to match vehicle sizes with employee headcount. Once the optimal tier is identified, a booking agent uses `request_ride` to secure the vehicle. The entire process runs autonomously, allowing your team to focus on the event while the crew handles the transit.

Audit travel expenses using this MCP Server

The `get_ride_history` tool pulls past corporate trips, complete with costs, dates, and expense categories. An auditor agent in your crew analyzes this data to detect anomalies or policy violations. If the auditor agent finds an issue, it passes the trip ID to a reporting agent. The crew can then cross-reference coordinates using `get_saved_locations` to verify if the trip was for a registered business destination.

Monitor active trips autonomously

The `get_ride_details` tool tracks active trips, providing real-time updates on driver status and route progress. A dispatcher agent monitors this data to ensure rides are progressing as planned. If a delay occurs, the dispatcher agent queries `get_time_estimate` to calculate the new arrival time. Should the delay exceed your threshold, the agent can trigger a Slack alert or call `cancel_ride` if a replacement is needed.

Setup guide

Set up Cabify 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 Cabify tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius server URL directly into the agent's `mcps` parameter. For granular control, use `MCPServerHTTP` from the `crewai.mcp` package to filter which tools each agent can access.

Yes. If a meeting is rescheduled, your scheduling agent can pass the ride ID to a logistics agent, which then executes `cancel_ride` to avoid cancellation fees.

Agents use CrewAI's shared memory to pass coordinates and location IDs retrieved from `get_saved_locations` or `add_saved_location` to coordinate multi-passenger pickups.

Yes. Your financial planning agent can call `get_price_estimate` to compare costs across different Cabify tiers before authorizing the booking agent to request the ride.

Yes. All location coordinates, ride history details, and transaction costs are processed inside Vinkius's zero-trust V8 sandbox. This MCP server isolates your data, ensuring your sensitive logistics data is never shared or stored.

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