How to Use the Amadeus MCP in Google ADK

Connect Amadeus to Google ADK to power your Gemini-based travel agents on Google Cloud.

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Connect Amadeus MCP to Google ADK

Create your Vinkius account to connect Amadeus 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 Amadeus with Google ADK

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Google ADK agents with global flight data

Your Gemini models gain access to global flight schedules via the `search_flights` tool. It integrates into your existing Google Cloud architecture without extra middleware. Since you are already in the Google ecosystem, the ADK handles the transport layer for you. You just define the toolset and let the agent reason over the results.

Location-aware travel planning in Google ADK

Use `search_activities` to pull local events and `search_transfers` to map out ground logistics. Your agent uses these tools to build comprehensive trip agendas that include transit details. This works perfectly with Gemini's large context window. The agent keeps track of complex, multi-city itineraries while pulling fresh data from the server.

Scale your Google ADK travel agent with Amadeus

The `get_flight_inspirations` tool lets your agent suggest destinations based on budget. It turns vague user requests into actionable travel paths for your application. You can filter the exposed toolset using the tool_names parameter in your McpToolset. This keeps your agent's focus tight and prevents unnecessary API calls.

Setup guide

Set up Amadeus 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 Amadeus 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="Amadeus_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Amadeus tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Amadeus MCP in Google ADK

It is fully compatible. You use the McpToolset class to import the server tools directly into your LlmAgent instance.

The server supports both Stdio and HTTP transports. Most Google Cloud deployments will prefer the HTTP transport for better connection management.

Gemini models can hold 1M+ tokens, allowing your agent to ingest large responses from `search_hotels` without losing track of the user's initial goals.

Vinkius manages the secure connection between your server and the agent. Data is transmitted over encrypted channels only when the agent triggers a specific tool.

Only the output of the tools is returned to your agent. Your private booking history and sensitive travel records remain encrypted within the server sandbox.

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