Bring Drm
to Vercel AI SDK
Learn how to connect Digify to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Digify MCP Server?
Connect your Digify account to any AI agent and take full control of your secure document distribution and Virtual Data Room (VDR) workflows through natural conversation.
What you can do
- Document Protection Orchestration — Programmatically protect sensitive files with granular Digital Rights Management (DRM) settings, including view-only access and dynamic watermarks
- VDR Architecture — Create and manage secure Virtual Data Rooms for high-stakes business collaboration, including inviting guests and managing folder structures
- Engagement Intelligence — Retrieve detailed audit logs and activity reports to monitor who accessed your protected documents and for how long
- Access Control Lifecycle — Programmatically revoke access or update sharing permissions for individual files or entire Data Rooms directly through your agent
- Administrative Visibility — Monitor Data Room engagement statistics and manage webhook configurations to maintain a high-fidelity secure ecosystem
How it works
- Subscribe to this server
- Retrieve your Key ID and Key Secret from your Digify Developer dashboard
- Start securing your corporate assets from Claude, Cursor, or any MCP client
No more manual watermarking or complex invitation tracking in the web portal. Your AI acts as your dedicated security and document operations coordinator.
Who is this for?
- Legal & Finance Teams — instantly secure sensitive contracts and manage M&A Data Rooms using natural language commands
- Corporate Executives — track engagement with confidential board materials and board books without leaving your workspace
- Operations Leads — automate guest provisioning and monitor audit trails through simple AI queries
Built-in capabilities (12)
Create a new Data Room
Get account status
Get Data Room details
Get Data Room engagement stats
Get file details
Invite a guest to a Data Room
Track document activities
List Data Room participants
List Virtual Data Rooms
List protected files
List configured webhooks
Securely share a file
Why Vercel AI SDK?
The Vercel AI SDK gives every Digify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Digify integration everywhere
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Built-in streaming UI primitives let you display Digify tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Digify in Vercel AI SDK
Digify and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Digify to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Digify in Vercel AI SDK
The Digify 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Digify for Vercel AI SDK
Every tool call from Vercel AI SDK to the Digify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Digify Key ID and Secret?
Log in to your account at digify.com, navigate to the API section in your dashboard, and generate a new set of API keys.
Can I prevent recipients from downloading protected files?
Yes! The protect_file tool includes an allow_download parameter. Set it to false to enable view-only access via the secure link.
How do I invite multiple guests to a Data Room?
Use the invite_guest tool for each participant. You can ask your agent to process a list of emails to coordinate batch invitations.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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