How to Use the Box MCP in CrewAI

Q: Can a CrewAI agent create folders in Box?

Yes, give your agent access to the createfolder tool. It can then generate new directories based on the instructions you provide to the crew.

Deploy a crew of agents to manage your Box content via this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Box MCP to CrewAI

Create your Vinkius account to connect Box 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.

GDPR Free for Subscribers

Setup Box with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

CrewAI agents navigating Box folders

Assign a specialized agent to run `list_folder_items` and map out your storage hierarchy. Your crew can then pass this information to other agents for processing. This MCP Server provides the raw data your agents need to organize your digital workspace. They see the folders just like you do.

Searching Box storage with CrewAI

Set a research agent to use `search_content` across your entire enterprise directory. It finds the documents and reports back with findings. Use `get_file_info` to get the specifics on any document found. Your crew handles the investigation while you focus on the results.

Managing Box collaboration with CrewAI

Task a monitoring agent with calling `get_folder_collaborations` to track access. It alerts the crew if it finds anything that looks off. Pull the full directory of enterprise users with `list_users` to keep your permissions list current. Your agents perform these audits without any human input.

Setup guide

Set up Box 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 Box tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Box 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="Box Analyst",
        goal="Access and analyze Box data via MCP.",
        backstory="Expert analyst with direct Box access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Box 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 Box. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Box now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Box MCP in CrewAI

Add the server URL to the mcps list in your Agent definition. CrewAI will automatically load the tools and make them available to your crew members.

Yes, give your agent access to the create_folder tool. It can then generate new directories based on the instructions you provide to the crew.

It does. You can restrict your agents to only use specific tools like search_content if you want to limit their capabilities.

Vinkius handles the auth token for you. Your agents just connect through our endpoint, keeping your credentials out of your local code.

The server acts as a secure gateway for your agents. It only transmits the metadata and search results required to complete the tasks assigned to your crew.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript