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Vinkius runs on AutoGen

How to Use the Settlement Value Estimator MCP in AutoGen

Let AutoGen agents debate and calculate settlement values together.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on AutoGen

Connect Settlement Value Estimator MCP to AutoGen

Create your Vinkius account to connect Settlement Value Estimator to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Resolve legal math disputes through agent consensus

Single agents often miss critical risks. This MCP introduces `calculate_emv` so your agents can calculate expected monetary values together. A financial agent can run the math while a legal agent reviews the probabilities. They collaborate to find the most realistic case value.

Run agent debates on negotiation boundaries

Setting a walkaway point doesn't have to be a guessing game. Use `derive_negotiation_surfaces` to establish your BATNA and ZOPA boundaries. Your AutoGen agents can debate these boundaries in real time. One agent pushes for an aggressive settlement while another defends the baseline.

Stress test litigation risks with AutoGen

Small shifts in court probabilities can ruin a settlement plan. Run `perform_risk_sensitivity_analysis` to model different risk profiles. Agents use these simulations to stress test their strategies. You get a final recommendation that has survived rigorous debate.

Setup guide

Set up Settlement Value Estimator MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Settlement Value Estimator 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="Settlement Value Estimator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Settlement Value Estimator MCP in AutoGen

Use the AutoGen MCP extension to load the tools. Pass the resulting tool list to your assistant agent constructor to enable legal calculations.
Yes, your agents can access the tools from this MCP during their conversation. They can share the calculated settlement ranges to reach a consensus.
This MCP supports streamable HTTP connections. You can host it centrally and connect your multi-agent team from any environment.
It gives your agents instant access to verified legal math formulas. You don't have to write custom parsers or probability models yourself.
Your litigation budgets and claim values are processed in memory and never stored. The MCP architecture ensures your legal strategies remain completely confidential.

Start using the Settlement Value Estimator MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 3 tools

We've already built the connector for Settlement Value Estimator. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 3 tools are live and waiting. You're up and running in seconds.

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