How to Use the Confido Legal MCP in Vercel AI SDK

Q: How do I connect Confido Legal to my Vercel AI SDK project?

Install @ai-sdk/mcp and instantiate the client with the Vinkius endpoint URL. Pass the tool definitions returned by mcpClient.tools() directly to your streamText function. Remember to call mcpClient.close() once the generation finishes to prevent memory leaks in your Edge Functions.

Q: Can Vercel AI SDK handle trust and operating splits with Confido Legal?

Yes. The createpaymentlink tool accepts parameters to split funds between trust and operating bank accounts. Your frontend agent determines the split ratio based on user input and calls the tool to generate the payment link immediately.

Q: How do I list client matters dynamically in a chat interface?

Use listmatters filtered by client ID. Your streaming UI will display the matching legal matters as the model identifies them, updating the user's screen in real-time.

Render real-time legal trust accounts and payment links directly in your React UI with Vercel AI SDK.

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Connect Confido Legal MCP to Vercel AI SDK

Create your Vinkius account to connect Confido Legal 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 Confido Legal with Vercel AI SDK

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Stream Payment Links Live to Your UI

`create_payment_link` generates trust and operating split links that your user-facing app displays instantly. Your Vercel AI SDK client streams the response so clients see payment options render without a blank loading screen. The tool handles the split math behind the scenes. This MCP Server ensures your React or Next.js frontend gets the raw link data immediately, letting you build self-service billing portals.

Live Matter Lookups via MCP Server

`list_clients` and `list_matters` fetch law firm records from Confido Legal directly through edge-compatible functions. Your AI client pulls these records to populate dropdowns or tables in your web app in real-time. Instead of waiting for a full page reload, the Vercel AI SDK renders the client lists chunk by chunk. Developers get a clean way to show active matters without writing custom API wrapper endpoints.

Instant Firm Banking Status Updates

`get_firm_details` queries bank account routing and firm setups to verify deposit destinations. This MCP tool lets your streaming interface verify where trust money lands before processing a transaction. By feeding this data straight to streamText, you build dashboards that show exact bank details the moment the user asks. It cuts down on manual payment errors by displaying verified account states.

Setup guide

Set up Confido Legal 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 Confido Legal 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 Confido Legal 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 Confido Legal. 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 Confido Legal MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and instantiate the client with the Vinkius endpoint URL. Pass the tool definitions returned by `mcpClient.tools()` directly to your `streamText` function. Remember to call `mcpClient.close()` once the generation finishes to prevent memory leaks in your Edge Functions.

Yes. The `create_payment_link` tool accepts parameters to split funds between trust and operating bank accounts. Your frontend agent determines the split ratio based on user input and calls the tool to generate the payment link immediately.

Yes, this server works with the Vercel AI SDK on the Edge Runtime. Because the connection uses lightweight HTTP transport, you can run these database lookups inside fast, global edge functions without cold starts.

Use `list_matters` filtered by client ID. Your streaming UI will display the matching legal matters as the model identifies them, updating the user's screen in real-time.

Vinkius runs the server in an isolated V8 sandbox, meaning your legal trust accounting details and client bank records are never exposed to the LLM provider. The SDK only transmits the specific payload needed for `get_payment_link_details` over an encrypted, single-token connection.

Use it with your favorite AI tools

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