How to Use the LawPay MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK manage LawPay trust accounts?

Yes. Your agent reads account types using listaccounts to ensure fees only hit operating ledgers. It is a mandatory check for IOLTA compliance.

Q: How do I track settlements using LawPay and OpenAI Agents SDK?

Call listsettlements to pull your daily bank batches. Your agent can then compare these totals against your internal invoice list.

Connect LawPay to your OpenAI Agents SDK production pipeline for strict IOLTA-compliant transaction handling and automated invoice logic.

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Connect LawPay MCP to OpenAI Agents SDK

Create your Vinkius account to connect LawPay to OpenAI Agents SDK 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 OpenAI Agents SDK

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Automated IOLTA trust account management

Your agent uses `get_account_stats` and `list_accounts` to verify ledger balances before triggering any financial action. This prevents commingling funds during the execution of `create_invoice` or `create_refund` by checking your firm's internal rules first. Everything happens within the agent's execution context. You get full visibility into account status through `get_account_info` so your agent never hits a trust account with an operating fee request.

Real-time transaction auditing via OpenAI Agents SDK

The server exposes `list_transactions` and `get_transaction` to give your agent immediate access to payment history. You can run reconciliation checks against client records without leaving your Python environment. Your agent parses the raw data returned by `list_settlements` to match incoming payments to specific client files. It keeps your books clean by flagging discrepancies immediately.

Secure tokenized payment method handling

Use `list_payment_methods` and `get_payment_method` to manage client billing info securely. These tools return metadata that your agent uses to identify existing tokens for recurring legal fees. This setup ensures your agent only interacts with approved payment sources. You avoid handling raw card data while maintaining a smooth billing workflow for your firm.

Setup guide

Set up LawPay MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all LawPay tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives LawPay tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate LawPay tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="LawPay Agent",
            instructions="You have access to LawPay tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

You use the agent's built-in guardrails to validate tool calls. Every `create_invoice` request passes through your defined logic before the server processes the data.

Yes. Your agent reads account types using `list_accounts` to ensure fees only hit operating ledgers. It is a mandatory check for IOLTA compliance.

The server provides strictly typed responses. Your agent handles the data directly, and you can add custom validation logic to catch anomalies in `get_transaction` output.

Call `list_settlements` to pull your daily bank batches. Your agent can then compare these totals against your internal invoice list.

Absolutely. The server only returns the specific tokens and transaction IDs required for billing. No raw sensitive financial records ever reside in your agent's memory.

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