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 LangChain 10 tools — connect in under 2 minutes

Name: Digify
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Digify through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "digify": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Digify, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Digify through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Digify MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Digify via MCP

Why Use LangChain with the Digify MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Digify MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Digify queries for multi-turn workflows

Digify + LangChain Use Cases

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

RAG with live data: combine Digify tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Digify, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Digify tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Digify tool call, measure latency, and optimize your agent's performance

Digify MCP Tools for LangChain (10)

These 10 tools become available when you connect Digify to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Digify + LangChain FAQ

Common questions about integrating Digify MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.