How to Use the Digify MCP in Vercel AI SDK

Q: How do I handle Digify tool calls inside a Vercel AI SDK project?

You register the tools using the createMCPClient helper to connect your MCP Server. The SDK calls mcpClient.tools() to fetch the endpoints and passes them directly to streamText.

Q: How do I stream Digify file lists dynamically with Vercel AI SDK?

Use streamText along with the listsecurefiles tool. The SDK streams the file metadata directly, allowing your React components to render the files as they load.

Stream secure file analytics and virtual data room data directly into your React components with the Vercel AI SDK.

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Connect Digify MCP to Vercel AI SDK

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

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Audit document access live in your Next.js UI

The `quick_file_audit` tool fetches a high-level summary of file views and security permissions directly from your Digify account. By passing this tool to your Vercel AI SDK runner, your frontend streams real-time access logs straight into user-facing dashboards using this MCP tool. We avoid standard loading spinners by letting the Vercel AI SDK render the raw JSON payload as it arrives. This means your users watch security events populate line-by-line, giving them immediate feedback on active file shares.

Inspect specific secure files inside Edge Functions

The `get_secure_file_details` tool queries security settings and metadata for any specific document. When you run this within an Edge Function, your Vercel AI SDK application retrieves file parameters via our MCP interface. You can write custom UI components that render these security settings instantly. The SDK handles the transport layer so your React components update the moment the file settings are returned.

Build interactive data room viewers using this MCP Server

The `list_virtual_datarooms` tool retrieves all active virtual data rooms associated with your profile. This MCP Server lets your application query security structures dynamically based on user prompts. Your Vercel AI SDK client processes this list and displays the active data rooms instantly. You do not need to build complex backend routers to expose this data to your client-side application.

Setup guide

Set up Digify 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 Digify 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 Digify 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 Digify. 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 Digify MCP in Vercel AI SDK

You register the tools using the `createMCPClient` helper to connect your MCP Server. The SDK calls `mcpClient.tools()` to fetch the endpoints and passes them directly to `streamText`.

Yes, this setup is fully compatible with Vercel's Edge runtime. The server communicates via standard HTTP transports, avoiding Node-specific dependencies.

Use `streamText` along with the `list_secure_files` tool. The SDK streams the file metadata directly, allowing your React components to render the files as they load.

The server catches the error and returns a clean error payload. Your SDK client receives this as a standard tool error message, which you can render in your UI.

All communications are sandboxed within Vinkius using V8 isolates. Your secure file details and virtual data room metadata are never stored or logged on our platform.

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