How to Use the Settlement Value Estimator MCP in Vercel AI SDK

Stream legal settlement calculations straight to your React UI with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Settlement Value Estimator MCP to Vercel AI SDK

Create your Vinkius account to connect Settlement Value Estimator to Vercel AI SDK — 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 Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Real-time case valuations.

Lawyers hate waiting for loading spinners. They want to see the numbers appear as the agent thinks through the case details. Your Next.js app calls `calculate_emv` in the background. The expected monetary value streams directly into your UI components before the final text response even finishes generating.

Vercel AI SDK boundary mapping.

Visualizing a bargaining zone requires structured data points. You need hard boundaries to draw charts on the frontend. Executing `derive_negotiation_surfaces` pulls the ZOPA and WATNA limits from this MCP. You can pipe those coordinates straight into a React charting library.

Live risk adjustments.

Clients often ask what happens if their win chances drop by ten percent. Your frontend needs to react instantly to those questions. Firing `perform_risk_sensitivity_analysis` runs the math on the backend. The agent pushes the new risk-adjusted arrays back to the edge function for immediate display.

Setup guide

Set up Settlement Value Estimator MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Settlement Value Estimator tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Settlement Value Estimator transactions",
});

console.log(text);
await mcpClient.close();

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.

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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

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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 Vercel AI SDK

Install the mcp npm package. Create a client using the Vinkius HTTP transport URL and pass the tools into your streamText call.

Yes. The framework renders the tool execution live so your users see the math happening in real time.

Yes. The integration works perfectly in edge environments. You just need to remember to close the client connection when the request finishes.

We run a massive catalog of thousands of managed tools. Connecting your TypeScript app once gives you access to the entire ecosystem without deploying separate infrastructure.

We do not store your potential award amounts or legal fees. The system computes the math in memory and discards the payload the millisecond the HTTP request closes.

Use it with your favorite AI tools

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

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