How to Use the Settlement Value Estimator MCP in Mastra AI

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…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Settlement Value Estimator MCP to Mastra AI

Create your Vinkius account to connect Settlement Value Estimator to Mastra AI — 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 Mastra AI

Ask AI about this MCP

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Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automated case triage.

Law firms process hundreds of claims a week. You need a reliable pipeline to grade them automatically. Your workflow triggers `calculate_emv` to grab the baseline expected value. If the number drops below a certain threshold, the system can automatically branch the logic and reject the claim.

Human-in-the-loop limits.

Setting hard floors for settlement talks is too important for fully autonomous execution. A partner needs to approve the numbers. You configure `derive_negotiation_surfaces` to require tool approval in Mastra AI. The agent pauses the workflow until a human reviews the BATNA boundaries.

Mastra AI stress testing.

Complex litigation models sometimes time out or hit temporary network snags. Your pipeline must handle these hiccups gracefully. Running `perform_risk_sensitivity_analysis` through this MCP benefits from built-in exponential backoff. The engine will retry the Monte Carlo simulation automatically if the initial request drops.

Setup guide

Set up Settlement Value Estimator MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Settlement Value Estimator tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "settlement-value-estimator-mcp-client",
  servers: {
    "settlement-value-estimator-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Settlement Value Estimator Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Settlement Value Estimator tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Settlement Value Estimator transactions"
);
console.log(result.text);

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