How to Use the US Wrongful Termination Calculator MCP in OpenAI Agents SDK

Build production legal estimation workflows with this MCP using OpenAI Agents SDK guardrails.

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Connect US Wrongful Termination Calculator MCP to OpenAI Agents SDK

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

GDPR Included with Plan

Setup US Wrongful Termination Calculator with OpenAI Agents SDK

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Run Damage Estimates in Production

Your agent needs hard numbers before a client signs a retainer. The `calculate_damages_estimate` tool handles the math for back pay and front pay projections based on user inputs. You get a concrete financial baseline instead of vague guesses. OpenAI Agents SDK enforces safety constraints around these financial calculations. You define the guardrails in your production system so the agent never over-promises a payout. Tracing via the dashboard shows exactly how the math was computed.

Evaluate Claim Risks with this MCP

Not every termination case survives summary judgment. We use `assess_claim_risk_profile` to grade the qualitative legal risk level of a specific fact pattern. It looks at the documentation gaps and employer defenses. Handoffs between specialized agents make this process cleaner. A triage agent pulls the initial risk rating. A senior review agent then decides whether to reject the lead or escalate it to human counsel.

Enforce State Guidelines

Punitive damages depend entirely on local jurisdiction. Calling `lookup_state_punitive_standard` returns the exact rules for a specific state. You avoid applying California standards to a Texas dispute. Setting `cacheToolsList=True` keeps your agent fast when querying these static state laws repeatedly. The async context manager handles the connection lifecycle flawlessly under heavy load.

Setup guide

Set up US Wrongful Termination 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 Wrongful Termination Calculator tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives US Wrongful Termination 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 Wrongful Termination 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 Wrongful Termination Calculator Agent",
            instructions="You have access to US Wrongful Termination Calculator 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 US Wrongful Termination Calculator. 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 US Wrongful Termination Calculator MCP in OpenAI Agents SDK

Install the package with pip. Use MCPServerStreamableHttp with your connection URL. Pass it in the mcp_servers list to your Agent constructor.

No. Tools are auto-discovered. The agent reads the schemas directly and knows exactly when to call them.

Yes. Built-in guardrails validate actions before execution. You control the constraints in your code.

Very fast. You enable caching for the tool list to skip redundant discovery calls.

Salary history and termination dates flow through this connection. We encrypt all HTTP streams in transit and never store your claimant wage inputs on disk.

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