How to Use the Digify MCP in CrewAI

Q: How do I pass the Digify server to a CrewAI agent?

You pass the server URL directly in the agent's mcps array parameter. CrewAI handles the connection and exposes the tools to that specific agent.

Q: Can I limit which Digify tools a CrewAI agent can use?

Yes, you can use the MCPServerHTTP class and apply a toolfilter. This restricts sensitive tools like audit functions to your compliance agents.

Deploy specialized agent teams to monitor virtual data rooms and audit file access using CrewAI.

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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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Run multi-agent data room audits in CrewAI

The `get_dataroom_details` tool fetches the membership list and settings for any specific virtual data room in your account. Within a CrewAI team, a compliance agent can run this tool to inspect who has access to sensitive files. Another agent then cross-references this list against your CRM. This collaborative MCP workflow ensures no external users remain in your secure spaces.

Search secure files dynamically using this MCP Server

The `search_secure_files` tool searches your Digify document library using filename keywords. This MCP Server allows your CrewAI research agents to find specific contracts or pitch decks instantly when answering complex user queries. The agent parses the search results and forwards the relevant file IDs to other members of the crew. This eliminates manual file searching during complex data analysis tasks.

Monitor account usage limits with autonomous agent squads

The `get_security_account_metadata` tool retrieves your current usage limits and account metadata. Your CrewAI management agent calls this tool to track data consumption and active user counts. This agent operates autonomously within your custom MCP setup. If your account approaches its limits, the agent alerts your team. This keeps your document operations running smoothly without requiring manual dashboard checks.

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

You pass the server URL directly in the agent's `mcps` array parameter. CrewAI handles the connection and exposes the tools to that specific agent.

Yes, you can use the `MCPServerHTTP` class and apply a `tool_filter`. This restricts sensitive tools like audit functions to your compliance agents.

Agents share data through CrewAI's built-in memory system. One agent can locate a file, and another can analyze its access statistics.

The server supports stdio, SSE, and Streamable HTTP. CrewAI connects seamlessly using whichever protocol matches your deployment environment.

No, all tool executions run inside an isolated, ephemeral V8 container. Your file names, viewer lists, and data room settings remain strictly confidential.

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