How to Use the LianLian Pay MCP in AutoGen

Build debating agents in AutoGen to manage LianLian Pay settlements with multi-perspective consensus.

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Connect LianLian Pay MCP to AutoGen

Create your Vinkius account to connect LianLian Pay to AutoGen 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 AutoGen

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Perplexity

Debate financial moves in AutoGen

Assign agents to evaluate `get_exchange_rates` before authorizing a transfer. One agent checks for budget compliance while another looks for better timing. You avoid rash decisions by forcing your agents to negotiate. They only call `create_payment` when they reach a consensus.

Audit settlements with multi-agent teams

Use a specialized auditor agent to review `list_withdrawals` against your internal records. If the agents disagree, they flag the discrepancy for your manual review. This creates a second layer of verification for your money moves. It catches errors that a single agent might miss.

Negotiate payment strategy with agents

Your agents can discuss the `query_order` status of pending payments. They determine if a refund via `refund_order` is necessary based on the current order state. It turns your payment operations into a deliberative process. You get a clear record of why a decision was made by the team.

Setup guide

Set up LianLian Pay MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes LianLian Pay tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="LianLian Pay_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent LianLian Pay data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="LianLian Pay_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent LianLian Pay data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Register the server tools using the MCP adapter in your agent configuration. Your agents then gain access to the full LianLian Pay API suite.

Yes, AutoGen allows them to exchange messages about tool outputs. They can challenge each other's interpretation of `get_balance` data to ensure accuracy.

The MCP Server environment is ephemeral and isolated. Your financial data exists only within the agent conversation context and is purged when the session ends.

You can configure a human-in-the-loop agent. It requires your input before the team of agents proceeds with any `create_payment` call.

AutoGen tracks the conversation history between agents. You can review the full transcript to see exactly how they utilized the financial tools.

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