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Digify MCP Server for CrewAIGive CrewAI instant access to 12 tools to Create Dataroom, Get Account Info, Get Dataroom, and more

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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.

Ask AI about this MCP Server for CrewAI

The Digify MCP Server for CrewAI is a standout in the Collaboration category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 12 available tools "
        "and what they can do."
    ),
)

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

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.

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

  • 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

The Digify MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Digify tools available for CrewAI

When CrewAI connects to Digify through Vinkius, your AI agent gets direct access to every tool listed below — spanning drm, virtual-data-room, file-security, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create dataroom on Digify

Create a new Data Room

get

Get account info on Digify

Get account status

get

Get dataroom on Digify

Get Data Room details

get

Get dataroom stats on Digify

Get Data Room engagement stats

get

Get file on Digify

Get file details

invite

Invite guest on Digify

Invite a guest to a Data Room

list

List activities on Digify

Track document activities

list

List dataroom guests on Digify

List Data Room participants

list

List datarooms on Digify

List Virtual Data Rooms

list

List files on Digify

List protected files

list

List webhooks on Digify

List configured webhooks

protect

Protect file on Digify

Securely share a file

Connect Digify to CrewAI via MCP

Follow these steps to wire Digify into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 12 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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

Example Prompts for Digify in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Digify immediately.

01

"List all active Virtual Data Rooms in my account."

02

"Securely share 'Q1_Financials.pdf' with 'john.doe@example.com' (no download allowed)."

03

"Show the last 5 activities for the 'Project Phoenix' Data Room."

Troubleshooting Digify MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

01

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.
02

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.
03

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.
04

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.
05

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.

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