How to Use the Box MCP in Google ADK

Q: How do I configure Box tools within Google ADK?

Use the McpToolset class and pass the Vinkius HTTP URL. You then provide this toolset to your LlmAgent instance, which immediately registers the MCP capabilities.

Q: Can I search for files inside a specific folder?

Yes, the searchcontent tool accepts an ancestor folder ID. This restricts the deep-text search to that folder and its subdirectories.

Feed Box enterprise data directly into your Google ADK agents to ground Gemini models with real-time files.

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Connect Box MCP to Google ADK

Create your Vinkius account to connect Box to Google ADK 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 Box with Google ADK

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Ground Gemini reasoning with Box files

The `get_file_info` and `search_content` tools pull live file metadata and text content straight into your Google ADK agent. This lets your Gemini model ingest entire spreadsheets or PDFs into its million-token context window to answer complex business questions. Instead of manual imports, the agent queries the MCP Server dynamically when it needs data. It connects your cloud storage directly to your Vertex AI pipelines with zero intermediary data pipelines.

Map corporate directories using Google ADK

The `list_folder_items` and `get_folder_info` tools inspect your Box directory structures to find specific assets. Your agent starts at root ID "0" and traverses subfolders to locate files modified after a specific date. This gives your Google ADK agent the ability to organize disorganized shared drives. It can write structured summaries of folder contents and store those logs directly back into BigQuery for analytics.

Manage enterprise workspace collaborations

The `get_folder_collaborations` and `list_users` tools retrieve the sharing settings and user lists from your corporate account. Your agent can verify which external partners have access to internal folders. This makes it simple to build security-monitoring tools inside your Google Cloud environment using an MCP Server setup. Your agent can flag unusual collaborations and alert admins through your existing Google Cloud infrastructure.

Setup guide

Set up Box MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Box tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Box_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Box tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Box MCP in Google ADK

Use the `McpToolset` class and pass the Vinkius HTTP URL. You then provide this toolset to your `LlmAgent` instance, which immediately registers the MCP capabilities.

Yes, you can use the optional tool names filter when initializing your `McpToolset`. This provides a secure MCP interface that restricts the agent to read-only tools like `get_file_info` while blocking folder creation.

Gemini easily digests large outputs because of its massive context window. The `search_content` tool returns targeted results, which the agent parses without hitting token limits.

Yes, the `search_content` tool accepts an ancestor folder ID. This restricts the deep-text search to that folder and its subdirectories.

All transport between Vinkius and your Google Cloud agent is fully encrypted. Your user lists and file metadata are processed ephemerally in a zero-trust environment, ensuring no data leaks into public training models.

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