How to Use the Legal Fees Apportionment Engine MCP in Vercel AI SDK

Stream real-time legal fee splits directly into your Vercel AI SDK interface without the wait.

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Connect Legal Fees Apportionment Engine MCP to Vercel AI SDK

Create your Vinkius account to connect Legal Fees Apportionment Engine to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Legal Fees Apportionment Engine with Vercel AI SDK

Ask AI about this MCP

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Claude

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Real-time fee calculation for Vercel AI SDK

Feed your UI live math by piping the `apportion_legal_fees` tool into your streamText calls. The client gets the breakdown as it happens. Your users won't stare at loading spinners while the math runs. This MCP Server pushes the result directly to your React or Next.js front-end for immediate display.

Deterministic math for your edge functions

Run heavy settlement logic right at the edge with the `apportion_legal_fees` tool. It keeps your compute footprint small and your results consistent. Every calculation is precise and audit-ready. You get clean, typed data back that fits right into your existing server-side logic.

Direct integration into your TypeScript stack

Initialize this MCP Server once and link it to your tool registry. The `apportion_legal_fees` tool behaves exactly like a native function in your codebase. Your agent handles the complex fee-shifting rules internally. The SDK manages the connection, so you focus on building the user experience.

Setup guide

Set up Legal Fees Apportionment Engine 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 Legal Fees Apportionment Engine 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 Legal Fees Apportionment Engine transactions",
});

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

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Common questions about Legal Fees Apportionment Engine MCP in Vercel AI SDK

Install the MCP client package and define your connection to the server. Pass `apportion_legal_fees` into your tool configuration, and your AI client will handle the rest.

Yes. The tool results stream back to your UI as they arrive. This keeps your dashboard responsive even during complex multi-party calculations.

The engine processes inputs in microseconds. It is built to handle multiple co-defendants and cross-claims without slowing down your app.

Every response is strictly typed. You can rely on the data structure for your UI components without manual casting.

The server uses ephemeral sessions. Your sensitive settlement figures are never stored permanently and are processed only within your isolated execution environment.

Use it with your favorite AI tools

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

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