How to Use the Digify MCP in CrewAI

Q: Can Digify tools be filtered for specific CrewAI agents?

You can use the toolfilter option in your agent setup to restrict access. This ensures that only authorized agents can modify your data rooms.

Deploy a CrewAI team to monitor and protect your documents using Digify tools for autonomous, role-based security operations.

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Connect Digify MCP to CrewAI

Create your Vinkius account to connect Digify to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Digify with CrewAI

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CrewAI agents managing Digify rooms

Assign a moderator agent to run `list_datarooms` and identify rooms needing attention. This agent identifies empty or stagnant rooms and reports them to the rest of the crew for action. Specialized roles allow your agents to focus. One agent handles data room setup, while another focuses on auditing access logs, ensuring no step is missed.

Automated document defense in CrewAI

Configure a security agent to use `protect_file` whenever a new document enters the system. This ensures that no file is shared without the required watermarks and access controls. The monitor agent checks `list_activities` continuously. If it spots suspicious behavior, it escalates the issue to your human admin for a final decision.

Collaborative Digify file analytics

Your research agent pulls data with `get_dataroom_stats` to generate a performance report. It then passes these insights to the analyst agent, which interprets the engagement patterns. This collaborative approach automates your reporting. Your agents work together to ensure your document security posture remains active and informed.

Setup guide

Set up Digify MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Digify tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Digify Analyst",
    goal="Access and analyze Digify data via MCP.",
    backstory="Expert analyst with direct Digify access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Digify transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Digify Analyst",
        goal="Access and analyze Digify data via MCP.",
        backstory="Expert analyst with direct Digify access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Digify transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Digify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Digify MCP in CrewAI

Yes, you can assign different agents to perform various Digify tasks simultaneously. One agent can list files while another monitors activity, improving your overall response time.

You pass the Vinkius endpoint directly into your agent configuration. The MCP server then exposes the tools to your crew for immediate use.

You can configure your agents to require human input before executing sensitive tools like `protect_file`. This maintains a layer of control over your document security.

You can use the tool_filter option in your agent setup to restrict access. This ensures that only authorized agents can modify your data rooms.

The server keeps your document access logs and visitor data contained within the specific MCP session. CrewAI agents only access the raw data returned by the tools, preventing exposure of your sensitive file history.

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