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 CrewAI 10 tools — connect in under 2 minutes

Name: Digify
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Digify through Vinkius, pass the Edge URL in the `mcps` parameter and every Digify tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Digify Specialist",
    goal="Help users interact with Digify effectively",
    backstory=(
        "You are an expert at leveraging Digify tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Digify "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, Digify becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Digify tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Digify

Why Use CrewAI with the Digify MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Digify through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Digify + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Digify for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Digify, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Digify tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Digify against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Digify MCP Tools for CrewAI (10)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Digify + CrewAI FAQ

Common questions about integrating Digify MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.