How to Use the Amadeus Alternative MCP in Google ADK

Q: How do I use the Amadeus Alternative tools with a Google ADK agent?

You instantiate an McpToolset with the server's Vinkius URL and pass it to your LlmAgent. Your Gemini-powered agent can then invoke tools like searchflights as part of its reasoning process.

Q: Can I use this to find points of interest near a location?

Yes, the searchpoi tool is designed for that. You provide coordinates, and it returns nearby points of interest. It's useful for agents that build complete travel guides.

Connect your Gemini agent to live flight and hotel data using Google ADK and this travel-focused MCP server.

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Connect Amadeus Alternative MCP to Google ADK

Create your Vinkius account to connect Amadeus Alternative 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 Alternative with Google ADK

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Query Travel Data for BigQuery

This server's tools feed directly into your Google Cloud workflow. Use `search_flights` and `search_hotels` to pull fresh travel data that your Gemini agent can analyze or load into BigQuery. You can build an enterprise agent that monitors flight price fluctuations for corporate travel. The `get_flight_dates` tool helps find the cheapest travel windows, and your agent can log those findings for later analysis.

Ground Gemini with Real-World Info

Stop your agent from making up travel details. Give it direct access to real-world data using tools like `get_direct_destinations` from a specific airport or `search_cities` to validate locations. With Google ADK's long-context capabilities, your agent can process extensive results from `get_travel_recommendations` to build complex itineraries. It uses the tool's structured output, not just its own memory.

An MCP Toolset for Google ADK

Integrating this travel MCP Server is straightforward. You wrap the Vinkius endpoint in an `McpToolset` and pass it to your `LlmAgent`. Google ADK handles the rest. You can even restrict which tools are exposed. If your agent only needs to find hotels, just filter for the `search_hotels` and `get_hotel_offers` tools. This gives you tight control over the agent's capabilities.

Setup guide

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

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Common questions about Amadeus Alternative MCP in Google ADK

You instantiate an `McpToolset` with the server's Vinkius URL and pass it to your `LlmAgent`. Your Gemini-powered agent can then invoke tools like `search_flights` as part of its reasoning process.

Yes, the `search_poi` tool is designed for that. You provide coordinates, and it returns nearby points of interest. It's useful for agents that build complete travel guides.

Absolutely. It provides the structured, real-world travel data needed to ground large-scale agents. You can combine its output with your own data in BigQuery to create powerful internal travel or logistics tools.

Yes. Your agent can make multiple tool calls—for example, getting dozens of flight options with `search_flights`—and reason over the entire result set within Gemini's large context.

Your agent sends travel search parameters—like city codes and dates—to the server. The connection is managed by Vinkius in an isolated sandbox, and your request data is not persisted.

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