How to Use the Netrows MCP in CrewAI

Deploy a specialized crew of agents to manage flight tracking and analysis with the Netrows MCP Server.

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Connect Netrows MCP to CrewAI

Create your Vinkius account to connect Netrows 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 Netrows with CrewAI

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Coordinate autonomous flight crews with CrewAI

Assign research agents to use `search_flights` and `get_flight_details` while an analyst agent processes the results. This division of labor allows you to build sophisticated aviation monitoring systems. Your agents share memory, so one agent can track a flight while another compiles the schedule data. This collaboration happens without human intervention.

Build hierarchical aviation intelligence teams

Set up a manager agent to oversee subordinate agents using `get_airline_info` and `get_aircraft_info`. The manager allocates tasks based on the specific needs of your tracking project. This hierarchy ensures your agents focus on the right data at the right time. You control the workflow, and the crew handles the execution across the toolset.

Scale flight tracking operations automatically

Use the tool filtering capabilities to restrict agent access to specific subsets of the Netrows API. You can limit your agents to only the tools they need for their specific role. This keeps your operations efficient and secure. By segmenting access, you maintain control over how your agents interact with the aviation data.

Setup guide

Set up Netrows 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 Netrows tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL directly into the agent configuration. You can then use tool filters to grant specific access to individual crew members.

Shared memory allows your agents to pass results between tasks. An agent searching for an airport can hand off that data to an agent tracking flights.

You can set up a loop where agents continuously query status updates. This creates an autonomous monitoring system that tracks flights in real-time.

Yes, you can define which tools an agent sees. This is helpful for keeping your agents focused on their specific roles within the crew.

The system uses secure transport to isolate your API interactions. Only authorized agents can touch your account usage or flight data records.

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