How to Use the Settlement Value Estimator MCP in LlamaIndex

Index legal settlement data directly into your LlamaIndex RAG pipelines.

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 LlamaIndex

Create your Vinkius account to connect Settlement Value Estimator to LlamaIndex — 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 LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Inject legal math into LlamaIndex vector stores

Raw case data is useless without context. This MCP uses `calculate_emv` to turn messy litigation estimates into structured expected monetary values. Your agent can then save these calculations directly into your index. This lets you query past legal outcomes using semantic search.

Build a searchable database of negotiation strategies

Finding the right deal doesn't have to be guesswork. Use `derive_negotiation_surfaces` to find your BATNA and ZOPA ranges. LlamaIndex connects these calculated boundaries with your historical case documents. You get a unified knowledge base for negotiation prep.

Analyze risk sensitivity in your knowledge graphs

Win probabilities are never static. Run `perform_risk_sensitivity_analysis` to test how different risk tolerances affect your financial exposure. The tool feeds these risk profiles directly into your retriever. Your agent can retrieve past cases with similar risk profiles instantly.

Setup guide

Set up Settlement Value Estimator MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Settlement Value Estimator MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Settlement Value Estimator tools.",
)
response = await agent.run("List recent Settlement Value Estimator data")

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 LlamaIndex

Install the LlamaIndex MCP tool spec package and initialize the client. Pass the tools directly to your function agent to start analyzing claims.

Yes, you can parse the tool results and write them directly to your vector store. This allows your agent to ground its answers in calculations from this MCP.

The MCP client can fetch active schemas and tool definitions directly. This ensures your agent always uses the correct parameters for legal calculations.

It bridges the gap between unstructured legal documents and structured financial math. Your agent can read a contract and calculate its settlement value in one run.

Your sensitive probability metrics and settlement ranges never leave your controlled runtime. The MCP connection uses secure transport protocols to protect your proprietary litigation data.

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