How to Use the Digify MCP in Vercel AI SDK

Q: How do I secure Digify data in my Vercel AI SDK app?

You use the protectfile tool to apply watermarks during the upload process. This ensures that every document remains restricted regardless of where it is viewed.

Q: Can Vercel AI SDK stream Digify activities?

Yes, you can stream listactivities results directly into your UI components. This allows your dashboard to show document engagement as the events happen.

Q: How do I manage guest access in a Digify Vercel AI SDK setup?

Use the inviteguest tool to trigger an invitation flow directly from your application. You can then use listdataroomguests to confirm their status.

Stream Digify document analytics directly into your Vercel AI SDK interface for real-time visibility into who is viewing your files.

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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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Real-time document tracking in AI SDK

Feed your application live insights by piping `list_activities` and `get_dataroom_stats` through your stream. Your users watch as the AI pulls viewer engagement data, showing exactly when a file was opened without waiting for a manual refresh. This integration keeps your UI snappy. By handling `list_files` calls on the edge, you ensure the document state remains current as the user interacts with your frontend.

Automated security for AI SDK apps

Wrap your file sharing logic using `protect_file` to apply dynamic watermarks before delivery. The server ensures that every document sent through your SDK flow carries the necessary access restrictions from the moment of creation. Control who gets access by triggering `invite_guest` directly from your chat interface. You manage permissions programmatically while maintaining a clear audit trail of every interaction.

Managing data rooms via AI SDK

Initialize new environments using `create_dataroom` to organize project assets. Your code handles the lifecycle of these rooms, ensuring each one is scoped correctly for your specific use case. Retrieve existing configurations with `get_dataroom` to verify current settings. You keep the entire document management flow inside your SDK-powered application, avoiding context switching.

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.

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

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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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place for every integration

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Common questions about Digify MCP in Vercel AI SDK

You use the `protect_file` tool to apply watermarks during the upload process. This ensures that every document remains restricted regardless of where it is viewed.

Yes, you can stream `list_activities` results directly into your UI components. This allows your dashboard to show document engagement as the events happen.

The MCP server is fully compatible with Vercel AI SDK edge environments. You just need to point your client to the Vinkius-managed endpoint.

Use the `invite_guest` tool to trigger an invitation flow directly from your application. You can then use `list_dataroom_guests` to confirm their status.

Digify keeps sensitive document metadata and access logs isolated within your data rooms. The MCP server only transmits the specific data requested by your tools, ensuring your private file records never hit unauthorized logs.

Use it with your favorite AI tools

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

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