How to Use the AwardWallet MCP in Google ADK

Q: How can my Google ADK agent get a user's travel timeline from AwardWallet?

After you add the McpToolset, the agent can call the getusertimeline tool. You can prompt it to "pull the travel timeline for userid 123," and it will return a chronological list of their trips from the AwardWallet MCP Server.

Q: What's the best way to integrate AwardWallet with Google ADK and BigQuery?

Use an ADK agent to call tools like getuseraccounts and getaccounthistory. The agent can then format that data and use its native BigQuery connection to insert it into a table for analysis. It's a direct path from AwardWallet to your data warehouse.

Q: How do I set up the AwardWallet MCP Server in my Google ADK project?

Instantiate an McpToolset and pass your Vinkius server URL to the StreamableHttpServerParameters. Then, include that toolset in the tools list when you create your LlmAgent.

Connect Google ADK agents to AwardWallet and analyze travel data with BigQuery and Gemini's long-context window.

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Connect AwardWallet MCP to Google ADK

Create your Vinkius account to connect AwardWallet 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 AwardWallet with Google ADK

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Analyze Travel Data in BigQuery

Pull entire travel histories and account lists directly into your Google Cloud environment. Use the `get_user_accounts` and `get_account_history` tools to fetch raw data. An ADK agent can then load this data into BigQuery for large-scale analysis. Imagine asking your Gemini-powered agent: "Find our top 10 most active travelers and chart their points accrual." The agent uses this MCP server to get the data from AwardWallet, then leverages its native GCP integration to run the query.

Plan Complex Trips with a Google ADK Agent

This MCP Server gives your agent the building blocks for travel management. The `get_user_itineraries` tool provides detailed trip info, while `list_loyalty_providers` helps find compatible reward programs for new bookings. Gemini's massive context window is the key here. Your agent can hold multiple users' itineraries, flight options, and hotel availability in its memory at once. It can use the AwardWallet tools to check existing plans and then reason about complex, multi-leg trips without losing track of the details.

Onboard and Monitor Connected Users

Manage connections at an organizational level. The `list_connected_users` tool is essential for enterprise agents that need to see every user who has linked their AwardWallet account. The `get_account_details` tool can then be used to drill down into specific accounts for support or auditing. You can build a Google ADK agent that automatically checks for new user connections, then triggers a workflow in Vertex AI to provision resources. The agent acts as the bridge between AwardWallet's user data and your GCP infrastructure.

Setup guide

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

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Common questions about AwardWallet MCP in Google ADK

After you add the McpToolset, the agent can call the `get_user_timeline` tool. You can prompt it to "pull the travel timeline for user_id 123," and it will return a chronological list of their trips from the AwardWallet MCP Server.

Use an ADK agent to call tools like `get_user_accounts` and `get_account_history`. The agent can then format that data and use its native BigQuery connection to insert it into a table for analysis. It's a direct path from AwardWallet to your data warehouse.

Yes, Google ADK supports this directly. When you configure the `McpToolset`, you can use the `tool_names` filter to provide an explicit list of allowed operations, like only exposing read-only tools.

Instantiate an `McpToolset` and pass your Vinkius server URL to the `StreamableHttpServerParameters`. Then, include that toolset in the `tools` list when you create your `LlmAgent`.

The server only handles the data needed to fulfill a tool request, such as a user's list of itineraries or loyalty account numbers. The connection is encrypted, and Vinkius processes each request in a dedicated, isolated environment that's destroyed after use.

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