Digify MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Digify through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Digify, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Digify MCP Server
Integrate Digify, the leading document security and virtual data room (VDR) platform, directly into your AI workflow. Manage your secure files, monitor data room activity, and track detailed document analytics using natural language.
The Vercel AI SDK gives every Digify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Secure File Oversight — List and retrieve detailed information and security settings for all your protected files.
- VDR Management — Monitor your virtual data rooms, including member lists and collaborative activity.
- Engagement Analytics — Retrieve detailed statistics on who viewed your files, for how long, and from where.
- Access Control — List recipients and monitor their specific viewing rights and permissions for secure assets.
The Digify MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Digify to Vercel AI SDK via MCP
Follow these steps to integrate the Digify MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Digify and passes them to the LLM
Why Use Vercel AI SDK with the Digify MCP Server
Vercel AI SDK provides unique advantages when paired with Digify through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Digify integration everywhere
Built-in streaming UI primitives let you display Digify tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Digify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Digify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Digify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Digify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Digify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Digify through natural language queries
Digify MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Digify to Vercel AI SDK via MCP:
get_dataroom_details
Get detailed settings and member lists for a specific data room
get_file_access_statistics
Retrieve detailed analytics on who viewed your file and for how long
get_secure_file_details
Get detailed information and security settings for a specific file
get_security_account_metadata
Retrieve metadata and usage limits for your Digify account
list_expired_secure_files
Identify secure files that have reached their expiration date (mock logic)
list_file_recipients
List all people who have been granted access to a specific secure file
list_secure_files
List all secure files you have uploaded to Digify
list_virtual_datarooms
List all virtual data rooms (VDRs) in your account
quick_file_audit
Retrieve a high-level summary of file views and security rights
search_secure_files
Search for secure files by filename keyword
Example Prompts for Digify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Digify immediately.
"List all secure files I've uploaded."
"Who has viewed the 'M&A Proposal' file and for how long?"
"Show me the details for our 'Investor Data Room'."
Troubleshooting Digify MCP Server with Vercel AI SDK
Common issues when connecting Digify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDigify + Vercel AI SDK FAQ
Common questions about integrating Digify MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Digify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Digify to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.