How to Use the Boeing Developer Tools MCP in Google ADK

Q: How do I configure Boeing Developer Tools with Google ADK?

Install google-adk and initialize McpToolset with your Vinkius HTTP endpoint. Pass this toolset directly to your LlmAgent to expose Boeing tools like getaerodromedetails to Gemini.

Q: Can I limit which tools on the MCP are visible to my Google ADK agent?

Yes, you can pass a list of specific tool names to the McpToolset constructor in your Python script. This restricts your Gemini agent to only using searchboeingparts while hiding other aviation tools.

Connect the Boeing Developer Tools MCP Server to Google ADK to analyze massive Jeppesen datasets with Gemini.

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Connect Boeing Developer Tools MCP to Google ADK

Create your Vinkius account to connect Boeing Developer Tools 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.

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Setup Boeing Developer Tools with Google ADK

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Run deep aviation analysis in Google ADK

Gemini's million-token context window is perfect for combing through massive airport records. This MCP Server connects `get_aerodrome_details` and `search_runways` directly to your LlmAgent. You can feed entire Jeppesen books into the context alongside live runway configurations. If you need to cross-reference airport data with your internal logistics databases, Google ADK connects BigQuery tables directly to the same context.

Automate supply chain queries with Vertex AI

Finding aircraft components shouldn't require manual database lookups. Your enterprise agent uses `search_boeing_parts` to scan global inventories and instantly checks pricing using `check_part_availability`. Because Google ADK runs natively on Google Cloud, you can trigger these parts-searching agents directly from cloud pub/sub events. The agent verifies the exact specifications of the target aircraft with `get_aircraft_specs` before confirming any order.

Real-time situational awareness for flight dispatchers

Dispatchers need to know about airspace changes immediately. By exposing `get_airspace_info` and `search_notams` to your Gemini agent, you can automate airspace monitoring over vast geographic regions. The agent monitors runway congestion with `get_runway_monitor` and tracks delay trends via `get_taxi_time`. Running this on Google Cloud means your dispatch system can scale up to monitor hundreds of concurrent flights without breaking a sweat.

Setup guide

Set up Boeing Developer Tools 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 Boeing Developer Tools 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="Boeing Developer Tools_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Boeing Developer Tools tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Boeing. 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 Boeing Developer Tools MCP in Google ADK

Install google-adk and initialize `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset directly to your LlmAgent to expose Boeing tools like `get_aerodrome_details` to Gemini.

Yes, you can pass a list of specific tool names to the `McpToolset` constructor in your Python script. This restricts your Gemini agent to only using `search_boeing_parts` while hiding other aviation tools.

Gemini models feature a million-token context window that easily handles massive Jeppesen outputs from `get_aerodrome_details`. Google ADK passes this raw text directly into the active prompt context without truncation.

Yes, Google ADK supports both Stdio and Streamable HTTP transports, allowing you to connect to the Boeing tools locally or via cloud endpoint. For cloud-hosted enterprise agents, the HTTP transport on Vinkius is recommended.

Your queries for airport codes and part numbers pass through secure, ephemeral V8 sandboxes on Vinkius. Google ADK processes this data in memory, ensuring no raw Boeing logistics data is used for model training.

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