How to Use the Settlement Value Estimator MCP in OpenAI Agents SDK

Quantify litigation risk directly in your OpenAI Agents SDK production environment.

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MCP Servers — Included with Plan

Connect Settlement Value Estimator MCP to OpenAI Agents SDK

Create your Vinkius account to connect Settlement Value Estimator 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 Settlement Value Estimator with OpenAI Agents SDK

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Calculate settlement value with OpenAI Agents SDK

Run `calculate_emv` to determine the expected monetary value of a legal claim. This process pulls your probability data into a clean financial figure for your agent to process. Your production agent relies on these outputs to make informed decisions about case viability. You get consistent results without manual spreadsheet work.

Define negotiation boundaries in OpenAI Agents SDK

Invoke `derive_negotiation_surfaces` to map out your BATNA, WATNA, and ZOPA boundaries. Your agent uses these markers to identify the actual zone of potential agreement. This tool removes the guesswork from your settlement strategy. You define the constraints, and the agent adheres to them during the negotiation flow.

Stress test outcomes with OpenAI Agents SDK

Execute `perform_risk_sensitivity_analysis` to run Monte Carlo simulations against your win probability assumptions. This exposes how shifts in risk tolerance affect your bottom line. Building this into your agent ensures you understand the range of possible outcomes before moving forward. It turns abstract risks into actionable data points.

Setup guide

Set up Settlement Value Estimator 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 Settlement Value Estimator tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Settlement Value Estimator 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="Settlement Value Estimator Agent",
            instructions="You have access to Settlement Value Estimator 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 Settlement Value Estimator. 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 Settlement Value Estimator MCP in OpenAI Agents SDK

You connect this MCP by initializing the server via HTTP parameters and passing it directly to your agent constructor. The SDK automatically maps the tools for immediate use in your code.

Yes. By feeding case facts into the tools, your agent evaluates complex claims and produces structured financial estimates based on your specific litigation parameters.

Absolutely. Since the agent validates every action through your defined constraints, you ensure that only verified financial models influence your final settlement decisions.

The agent receives a clear error message from the MCP. You can then use the built-in tracing features to inspect the stack and resolve the issue quickly.

This MCP only processes the specific litigation numbers you provide in your request. It does not store or share your financial data, as all operations happen locally within your agent's runtime.

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