How to Use the Netrows MCP in Google ADK

Q: How can I use Google ADK and Netrows to get a list of all American Airlines planes?

Your agent will use the searchaircraft tool from the Netrows MCP server. Just ask it to search for aircraft operated by 'American Airlines' and it will return a list of all registrations and aircraft types in their fleet.

Q: Can I filter which Netrows tools my Google ADK agent sees?

Yes. When you initialize the McpToolset, you can use the optional toolnames filter. This lets you expose only a subset of the 12 Netrows tools to your agent.

Connect Google ADK to the Netrows Aviation API for enterprise-scale flight data analysis.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Netrows MCP to Google ADK

Create your Vinkius account to connect Netrows to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Netrows with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Pipe Aviation Data Directly into BigQuery

Your Gemini-powered agent can now act as a data pipeline. Use it to query entire airline fleets with `get_airline_flights` or pull all activity for a major hub with `get_airport_flights`. The agent gets the raw data from Netrows. From there, you can instruct the agent to format and insert that data directly into a BigQuery table. This is perfect for building large historical datasets for market analysis or operational dashboards without writing custom ETL scripts.

Long-Context Reasoning Across the Netrows MCP Server

Ask your agent complex, multi-step questions. Thanks to Gemini's large context window, it can hold results from several Netrows tools at once. For example, ask it to 'find all airports near Chicago, then get all departing flights, and finally list the aircraft types for each flight.' Your agent will intelligently chain calls to `search_airports`, `get_airport_flights`, and `get_aircraft_info` to get the answer. It remembers the context from one tool to the next, giving you a much deeper analysis. This MCP server provides the right tools for the job.

Build Enterprise Logistics and Tracking Agents

Equip your Google Cloud agents with real-world aviation intelligence. An agent can monitor a specific flight with `track_flight` and cross-reference its position with airport data from `get_airport_info` to calculate ETAs. It can also perform competitive analysis by using `search_aircraft` to find an airline's entire fleet composition or `get_flight_schedule` to map out their routes. It's all done through the Google ADK, using the Netrows tools you expose.

Setup guide

Set up Netrows MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Netrows tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Netrows_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Netrows tools via MCP.",
    tools=mcp_tools,
)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Netrows now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Netrows MCP in Google ADK

Your agent will use the `search_aircraft` tool from the Netrows MCP server. Just ask it to search for aircraft operated by 'American Airlines' and it will return a list of all registrations and aircraft types in their fleet.

Yes. When you initialize the `McpToolset`, you can use the optional `tool_names` filter. This lets you expose only a subset of the 12 Netrows tools to your agent.

The recommended way is to have your Google ADK agent query a Netrows tool like `get_airline_flights`. Then, instruct the agent to process the results and write them to a BigQuery table for further analysis with other Google Cloud services.

Simply ask your agent to find airports in that city. It will use the `search_airports` tool, which returns all airports in the area, including their IATA/ICAO codes and full names.

Your requests for aviation data, like flight routes or airline fleet information, are passed through the Google ADK to the Vinkius-managed MCP server via a secure HTTPS connection. The server is ephemeral, meaning it doesn't log or persist the specific queries you make.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript