How to Use the LianLian Pay MCP in Google ADK

Q: Can I filter which LianLian Pay tools Google ADK exposes?

You can. Use the toolnames filter when initializing the toolset to restrict access. This ensures your agent only interacts with the specific endpoints you authorize.

Q: Does LianLian Pay work with Google ADK long-context reasoning?

It does. You can feed long histories of listtransactions into the Gemini context window. This allows the model to reason about months of payment activity at once.

Integrate LianLian Pay with your Google ADK agents to manage global settlements directly within your Google Cloud infrastructure.

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Connect LianLian Pay MCP to Google ADK

Create your Vinkius account to connect LianLian Pay 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 LianLian Pay with Google ADK

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Direct LianLian Pay integration for Google ADK

Map your financial workflows to `create_payment` and `refund_order` using the native Google ADK toolset. Your agents act on payments while living inside your existing cloud environment. This setup allows for low-latency communication between your agent and the payment gateway. You keep your operational logic centralized with your other Google Cloud services.

Connect Google ADK to LianLian Pay balance data

Feed `get_balance` and `get_account_info` into your Gemini models to drive autonomous financial decisions. Your agents analyze account health in real-time alongside your BigQuery data. This creates a unified view of your liquidity. Your agents use this data to decide when to move funds between accounts or hold for better rates.

Global settlement tracking in Google ADK

Use `list_settlements` and `list_withdrawals` to pull data into your analytical pipelines. Your agents sort through massive transaction logs to identify discrepancies or patterns. Because this MCP Server runs within your architecture, the data stays close to your compute. You process high-volume payment logs without leaving the Google ecosystem.

Setup guide

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

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

Use the McpToolset class in your Python setup. Point it to your server URL, and the tools become available to your Gemini-powered agents instantly.

You can. Use the tool_names filter when initializing the toolset to restrict access. This ensures your agent only interacts with the specific endpoints you authorize.

It does. You can feed long histories of `list_transactions` into the Gemini context window. This allows the model to reason about months of payment activity at once.

The framework catches errors returned by the tools. You can write custom handlers to log these failures to Cloud Logging or trigger a notification.

The server only accesses your payment history, account balances, and order status. It operates strictly within your secure environment, keeping sensitive financial data off public networks.

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