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How to Use the Airwallex MCP in Google ADK

Feed real-time Airwallex treasury data directly into your Google ADK pipelines for long-context financial analysis.

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Google ADK

Connect Airwallex MCP to Google ADK

Create your Vinkius account to connect Airwallex 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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Analyze Airwallex transaction histories in Google ADK

Connect this MCP Server to your Google ADK agents to feed raw financial records into Gemini's massive context window. By exposing `list_transfers` and `list_payments`, your agent can ingest thousands of past transactions to spot anomalies or build cash flow summaries. This setup lets you combine Gemini's reasoning with your live ledger. The agent pulls the historical data, processes it, and can even cross-reference it with your existing datasets stored in BigQuery.

Track multi-currency balances across accounts

Use `list_accounts` and `get_balance` to give your Google ADK agents a real-time view of your global cash position. The agent can monitor multiple currency pockets and flag when a specific account needs funding. Because the ADK integrates with Vertex AI, you can build agents that predict future balance needs based on current trends. The agent queries your live balances, runs the numbers, and suggests moves before you run into liquidity issues.

Check global beneficiaries and FX rates

Your agents can query live currency conversions using `get_fx_rates` and match them against your active vendor list using `list_beneficiaries`. This ensures your cross-border payouts always use the most accurate market pricing. You configure this by passing the Vinkius HTTP transport parameters to the MCP toolset class. You can restrict the toolset to only expose these read-only tools, keeping your global transfer configurations secure.

Setup guide

Set up Airwallex 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Airwallex 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="Airwallex_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Airwallex tools via MCP.",
    tools=mcp_tools,
)

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

Initialize the toolset using the ADK class with your Vinkius MCP Server parameters. Then, pass that toolset object directly into the tools list when creating your Google ADK agent.
Yes, you can use the optional tool name filter when setting up your toolset. This lets you expose only `get_fx_rates` to your Google ADK agent while hiding sensitive tools like `list_transfers`.
Gemini's million-token context window excels at parsing large payloads. When your Google ADK agent calls `list_payments`, it can load thousands of transaction records at once, allowing the model to analyze complex payment histories without hitting memory limits.
No, Vinkius manages the authentication layer. Your Google ADK agent connects using a single secure Vinkius token, ensuring your actual Airwallex API keys are never exposed in your Google Cloud environment.
All exchange rates and transfer records requested by your agent pass through an encrypted, zero-trust connection. Vinkius runs the server in an ephemeral container, ensuring your sensitive FX quotes and transfer logs are processed in memory and never written to persistent storage.

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