How to Use the Kavak MCP in CrewAI

Q: How do I give my CrewAI agents access to Kavak?

Pass the endpoint URL directly into the mcps array when defining your agent. For more granular control, use MCPServerHTTP to restrict which specific tools each persona can execute.

Q: Can CrewAI monitor Kavak inventory continuously?

You can set up a watcher agent that loops the searchvehicles tool on a schedule. When a car matching your strict criteria appears, the crew alerts you immediately.

Q: Can agents check if a hold is still active?

Your monitoring agent simply fires the getreservation tool with the specific hold ID. It verifies the status and triggers a renewal workflow if the lock is expiring soon.

Deploy autonomous agent crews to monitor Kavak inventory, analyze market pricing, and secure vehicle reservations via CrewAI.

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Connect Kavak MCP to CrewAI

Create your Vinkius account to connect Kavak 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 Kavak with CrewAI

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Autonomous market pricing analysis

The `get_market_pricing` tool gives your research agent direct access to real-time valuation intelligence across the Mexican auto market. Your analyst pulls these metrics and compares them against specific cars found via `search_vehicles`. A separate agent can then review the `get_vehicle_history` data to identify undervalued cars with clean records. The MCP Server feeds these specialized roles exactly what they need to spot arbitrage opportunities or great deals.

Multi-agent vehicle inspection reviews

Assign a mechanic persona to evaluate the `get_vehicle_inspection` output for any car on the platform. This tool returns the full 240-point mechanical report, letting your agent flag potential maintenance issues before a purchase. If the mechanic agent approves the condition, it passes the vehicle ID to a finance agent. That agent runs `get_financing_options` and `estimate_trade_in` to build a complete financial profile for the transaction.

Secure holds with CrewAI execution

Your moderator agent takes action by calling the MCP `create_reservation` tool to lock down a highly-rated car. The tool requires contact details and immediately pulls the inventory offline so nobody else can buy it. After securing the hold, a logistics agent uses `list_locations` to find the nearest Kavak hub. It then executes `schedule_test_drive` to finalize the physical appointment, completely automating the procurement pipeline.

Setup guide

Set up Kavak 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 Kavak tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the endpoint URL directly into the `mcps` array when defining your agent. For more granular control, use `MCPServerHTTP` to restrict which specific tools each persona can execute.

You can set up a watcher agent that loops the `search_vehicles` tool on a schedule. When a car matching your strict criteria appears, the crew alerts you immediately.

A dedicated pricing agent takes the user's car specs and runs them through `estimate_trade_in`. It then passes that dollar amount to the finance agent to calculate the final out-of-pocket cost.

Your monitoring agent simply fires the `get_reservation` tool with the specific hold ID. It verifies the status and triggers a renewal workflow if the lock is expiring soon.

Every time an agent passes a name or address to book an appointment, the MCP handles it inside an isolated, ephemeral container. The system wipes the memory entirely after the request completes, keeping user details completely off our servers.

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