How to Use the FinLegal MCP in Vercel AI SDK

Q: How do I stream case details using FinLegal and Vercel AI SDK?

Call mcpClient.tools() to grab the tool definitions, then pass them to streamText. When the MCP agent invokes getcase or getclaim, the JSON response streams directly to your React or Next.js frontend components.

Q: How does FinLegal handle claimant creation in Vercel AI SDK?

Your agent uses createcontact to set up the claimant's profile. From there, it immediately invokes createclaim to link the new legal claim, streaming the status back to the user's UI in real-time.

Q: How do I clean up connections after running tools?

Always call mcpClient.close() once your streaming session ends. This frees up the MCP connection pool and ensures your Next.js serverless functions don't leak active sockets.

Feed live litigation case updates directly to claimant dashboards using Vercel AI SDK and this FinLegal MCP Server.

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Connect FinLegal MCP to Vercel AI SDK

Create your Vinkius account to connect FinLegal 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 FinLegal with Vercel AI SDK

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Build live litigation dashboards with Vercel AI SDK

Stop making legal clients stare at loading spinners while fetching case status using `get_claim`. This MCP Server lets your Vercel AI SDK setup stream live claim data as it happens. You can render interactive timelines of legal steps. Your React components update instantly when the agent pulls templates via `list_activity_templates` or checks progress with `get_case`.

Direct claimant onboarding in Next.js

Onboard new claimants instantly by running `create_contact` directly from your frontend. Users fill out fields, and your Vercel AI SDK agent handles the validation. If the claimant already exists, the SDK agent runs `get_contact_by_email` to pull their file. It updates outdated phone numbers or addresses on the fly using `update_contact` before attaching the new claim.

Real-time activity logging at the edge

Edge functions need to be fast, which is why running `create_activity` at the edge is so critical. Your AI agent checks `list_attribute_templates` to verify custom fields before submitting. This setup executes tasks from Vercel's edge network without cold-start lag. The whole operation runs inside Vinkius's isolated sandbox, keeping sensitive legal records safe while they stream to your app.

Setup guide

Set up FinLegal 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 FinLegal 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 FinLegal 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 FinLegal. 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.

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Common questions about FinLegal MCP in Vercel AI SDK

Call `mcpClient.tools()` to grab the tool definitions, then pass them to `streamText`. When the MCP agent invokes `get_case` or `get_claim`, the JSON response streams directly to your React or Next.js frontend components.

Yes, this MCP Server is fully compatible with edge runtimes. Because Vinkius hosts the actual server execution, your edge code only needs to make lightweight HTTP calls to trigger tools like `list_claims` or `update_contact`.

Your agent uses `create_contact` to set up the claimant's profile. From there, it immediately invokes `create_claim` to link the new legal claim, streaming the status back to the user's UI in real-time.

Always call `mcpClient.close()` once your streaming session ends. This frees up the MCP connection pool and ensures your Next.js serverless functions don't leak active sockets.

Your litigation case data and claimant email addresses never touch public LLM training sets. Vinkius runs this tool inside a zero-trust, ephemeral V8 isolate sandbox, encrypting all payloads containing `get_contact` and `get_case` data before they reach your SDK client.

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