How to Use the Settlement Value Estimator MCP in LangChain

Run multi-step legal valuation chains in LangChain to calculate real settlement numbers.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Settlement Value Estimator MCP to LangChain

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

GDPR Included with Plan

Setup Settlement Value Estimator with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Build automated legal analysis chains with LangChain

Stop guessing what a lawsuit's worth. This MCP lets your agent calculate the expected monetary value of a case by combining probabilities and financial outcomes using `calculate_emv`. You can feed these results directly into your next chain step. LangSmith tracks every calculation so you can audit the math.

Map negotiation margins directly in your pipelines

Legal battles usually end in deals, not verdicts. Your agent can run `derive_negotiation_surfaces` to define clear boundaries like BATNA and ZOPA. LangChain handles the data flow from raw claim details to structured settlement ranges. You get clear numbers to guide your strategy.

Stress test legal outcomes with sensitivity analysis

Small changes in win probability alter your financial exposure. Run `perform_risk_sensitivity_analysis` to see how different risk thresholds change the math. This tool plugs into your existing decision trees. Your agent can run multiple scenarios in parallel to find the safest path forward.

Setup guide

Set up Settlement Value Estimator MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Settlement Value Estimator tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "settlement-value-estimator-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Settlement Value Estimator transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Settlement Value Estimator now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Settlement Value Estimator MCP in LangChain

Install the required adapter package and configure the client with the connection URL. Your agent can then access all three calculation tools in any active chain.

Yes, every calculation run by this MCP appears in your LangSmith dashboard. You can inspect the exact inputs, outputs, and latency for every run.

You can combine this MCP with other tools in a single agent. The adapter aggregates everything into a single toolset for your pipeline.

It processes raw financial inputs and probability distributions to output clean settlement boundaries. Your agent uses these structured outputs to make logical decisions.

Your litigation costs and probability inputs stay local to your execution environment. Vinkius secures the connection, meaning the MCP connection never stores your sensitive case values.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript