How to Use the US Lease Break Penalty Calculator MCP in OpenAI Agents SDK

Calculate lease break penalties programmatically with OpenAI Agents SDK using this specialized financial MCP.

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Connect US Lease Break Penalty Calculator MCP to OpenAI Agents SDK

Create your Vinkius account to connect US Lease Break Penalty Calculator to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup US Lease Break Penalty Calculator with OpenAI Agents SDK

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Validate State Laws with OpenAI Agents SDK

The `get_state_mitigation_duty` tool checks the landlord's legal obligation to find a replacement tenant in any US state. Your production agent uses this data to automatically adjust liability calculations based on local statutes. This prevents your agent from overestimating penalties in states with strict mitigation requirements. You get real-time legal baseline adjustments directly inside your OpenAI framework runtimes.

Calculate Total Financial Exposure

Use the `calculate_gross_loss` tool to determine the absolute worst-case scenario for uncollected rent over the remaining lease term. It takes the monthly rent and remaining months to establish the baseline debt before any mitigation offsets. Running this calculation ensures your system has a hard ceiling for any dispute. The SDK handles this mathematical calculation safely before passing the results to negotiation agents.

Project Settlement Ranges via MCP Server

The `estimate_lease_break_settlement` tool computes realistic compromise figures based on historical lease termination data and market friction. It gives your negotiation agents a target range to settle disputes out of court. Having this range allows your systems to automatically draft settlement offers that landlords are likely to accept. It saves hours of manual negotiation by establishing fair baselines instantly.

Setup guide

Set up US Lease Break Penalty Calculator 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 US Lease Break Penalty Calculator tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate US Lease Break Penalty Calculator 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="US Lease Break Penalty Calculator Agent",
            instructions="You have access to US Lease Break Penalty Calculator tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about US Lease Break Penalty Calculator MCP in OpenAI Agents SDK

You register the MCP toolset directly in your python agent constructor. The SDK auto-discovers the tools, allowing your agents to query state laws and run calculations during a run.

Yes, you can control tool access through the agent definition. You choose which agent gets access to specific financial tools to maintain strict operational boundaries.

The tools query real-time statutory rules for mitigation. The SDK passes the state parameter directly, and the tool returns whether the landlord must find a replacement tenant.

Set the cache parameter to true when initializing the connection. This prevents the SDK from querying the remote host for the tool list on every single run.

This MCP only processes inputs like monthly rent, remaining lease months, and state locations. Your sensitive tenant names and specific property addresses never leave your local environment.

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