How to Use the Alipay Open Platform MCP in Google ADK

Q: Can I filter Alipay Open Platform tools in Google ADK?

You can use the toolnames argument in your configuration. This limits which specific functions your agent can see and use.

Q: How do I get user details via Alipay Open Platform?

Invoke queryuserinfo once you have the necessary authorization. The agent then processes the returned data for your specific use case.

Connect Alipay Open Platform to your Google ADK agent for enterprise-grade payment automation.

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Connect Alipay Open Platform MCP to Google ADK

Create your Vinkius account to connect Alipay Open Platform 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 Alipay Open Platform with Google ADK

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Google ADK-ready payment workflows

Execute `create_trade` and `cancel_trade` directly within your Google ADK agent logic. It bridges the gap between your cloud infrastructure and customer payments. Your agent uses the McpToolset to expose these operations. It makes handling unpaid orders a simple task for your Gemini-powered models.

Real-time fund management in Google ADK

Push money to users or process refunds with `transfer_fund` and `refund_trade`. It allows your Google ADK agent to act as a financial operator. Tracking the status of these transfers is straightforward. Simply call `query_transfer` to get the latest update on your outgoing funds.

Accounting automation for Google ADK

Fetch bill download URLs with `query_bill_download_url` to keep your BigQuery datasets current. It ensures your agent always works with the latest ledger info. This MCP server integrates cleanly into your existing Google Cloud setup. Your agent handles the logic while the server manages the API calls.

Setup guide

Set up Alipay Open Platform 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 Alipay Open Platform 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="Alipay Open Platform_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Alipay Open Platform tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Alipay Open Platform MCP in Google ADK

Use the McpToolset class with your server URL. Add this toolset to your LlmAgent to start making calls to the platform.

Your Gemini models can ingest the tool outputs for complex decision-making. It works perfectly for agents analyzing large sets of transaction history.

You can use the tool_names argument in your configuration. This limits which specific functions your agent can see and use.

Invoke `query_user_info` once you have the necessary authorization. The agent then processes the returned data for your specific use case.

Your data is handled through ephemeral connections that don't store your credentials. The server acts as a transient layer between your agent and the platform.

Use it with your favorite AI tools

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