How do I get a Digify API Key?

Log in to your Digify account, navigate to the API section in your settings, and you can generate or retrieve your unique API Key from there. Note that API access may require a specific plan.

Can the agent show exactly who viewed a file?

Yes, you can use the get_file_access_statistics tool to see a list of recipients who have opened your secure file and their total viewing duration.

Does the integration support watermarking settings?

The agent can retrieve current security settings for a file, including whether watermarking is enabled. Adjusting these settings should be managed via the Digify dashboard.

Digify MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Digify
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Digify through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Digify "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Digify?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Digify tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Digify MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Digify with type-safe schemas

Why Use Pydantic AI with the Digify MCP Server

Pydantic AI provides unique advantages when paired with Digify through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Digify integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Digify connection logic from agent behavior for testable, maintainable code

Digify + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Digify MCP Server delivers measurable value.

Type-safe data pipelines: query Digify with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Digify tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Digify and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Digify responses and write comprehensive agent tests

Digify MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Digify to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Digify to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Digify + Pydantic AI FAQ

Common questions about integrating Digify MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Digify MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.