How to Use the LawPay MCP in AutoGen

Q: How do AutoGen agents negotiate LawPay refund approvals?

One AutoGen agent checks trust balances via getaccountstats while another reviews the refund request. They must both sign off on the transaction before the createrefund tool is triggered.

Q: How are client credit card tokens protected in AutoGen?

The system handles tokenized card data via getpaymentmethod without exposing raw numbers. All message exchanges between AutoGen agents occur within the secure, isolated Vinkius MCP Server sandbox environment.

Run multi-agent debates in AutoGen using this MCP Server to validate LawPay trust compliance before executing transfers.

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Connect LawPay MCP to AutoGen

Create your Vinkius account to connect LawPay 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 LawPay with AutoGen

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Multi-Agent Compliance Checks for Refunds

The `create_refund` tool runs on this MCP Server under the governance of a multi-agent debate in AutoGen to prevent compliance errors. A dedicated compliance agent checks the transaction history using `get_transaction`, while a billing agent verifies operating funds via `get_account_stats`. Only after both agents agree that the refund won't touch trust balances is the tool executed. This consensus-driven workflow stops accidental trust account drawdowns before they happen.

Validate MCP Server Invoices via AutoGen Debate

The `create_invoice` tool runs only after your AutoGen agents reach consensus on client billing rates and trust requirements. An account manager agent pulls client terms, while a compliance agent uses `get_account_info` to verify the deposit account. This structure stops incorrect billing setups from reaching clients. By forcing a negotiation between agents, you ensure that every invoice aligns with state bar trust guidelines.

Automated Settlement Auditing via Agents

The `list_settlements` tool fuels a continuous audit conversation between your AutoGen agents. One agent tracks incoming bank deposits, while another parses transaction logs using `list_transactions` to find discrepancies. They debate any mismatches until they reconcile the balances. If a discrepancy exists, they query `get_payment_method` to identify the source and flag it for human review.

Setup guide

Set up LawPay 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 LawPay 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="LawPay_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="LawPay_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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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 LawPay. 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 LawPay MCP in AutoGen

One AutoGen agent checks trust balances via `get_account_stats` while another reviews the refund request. They must both sign off on the transaction before the `create_refund` tool is triggered.

Yes, you can deploy a billing agent and an audit agent in AutoGen. They compare data from `list_invoices` and `list_settlements` to verify that every paid invoice has settled correctly.

You register the MCP Server tools with your AutoGen assistant agents. The agents use `list_accounts` to identify trust and operating accounts, then debate the correct routing path for incoming payments.

The debate halts immediately, and the transaction is blocked. The agents log the compliance issue using details from `get_account_info` and wait for a human administrator to intervene.

The system handles tokenized card data via `get_payment_method` without exposing raw numbers. All message exchanges between AutoGen agents occur within the secure, isolated Vinkius MCP Server sandbox environment.

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