How to Use the Zoho WorkDrive MCP in Google ADK

Q: How can I list all available files in Zoho WorkDrive using Google ADK?

You call listfiles through the MCP Server. The Gemini models process this output, allowing your agent to not only list files but also summarize their contents or suggest next steps based on that data.

Q: Can I create a new folder in Zoho WorkDrive using Google ADK?

Yes, the createfolder tool handles this. Your agent executes the call, and since it's integrated with Google Cloud infrastructure, you get immediate logging and tracing of that structural change.

Q: What is the best way to check file access in Zoho WorkDrive using Google ADK?

Use listfilepermissions. This tool gathers all necessary access data. Your agent uses this list to decide if a write operation, like renaming a file (renamefile), is appropriate for that user.

Q: Does Zoho WorkDrive support linking in Google ADK?

Yes. You can create new share links with createsharelink and then list existing ones using listsharelinks. This is useful for building knowledge graphs inside BigQuery.

Execute Zoho WorkDrive actions within your enterprise agents using Google ADK on BigQuery and Vertex AI.

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Connect Zoho WorkDrive MCP to Google ADK

Create your Vinkius account to connect Zoho WorkDrive 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 Zoho WorkDrive with Google ADK

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Performing Deep File Operations with MCP Server

Your agent can perform complex file operations that feed directly into your BigQuery tables. Need to know what's in a directory? Call `list_files`. Or, if you need to modify the structure, use tools like `create_folder` and `delete_file` to keep your data sources clean. Because this works with Gemini models that hold 1M+ tokens, these file changes are immediately contextualized for later analysis.

Tracking Zoho WorkDrive Data Context

The MCP Server lets you pull granular details on any asset. Get full context using `get_file_metadata` or check who has access via `list_file_permissions`. This data can then be passed to Vertex AI for immediate reasoning against your enterprise knowledge base. Furthermore, listing team workspaces with `list_team_folders` makes sure the agent knows the scope of its current task.

Managing Identity and Teams via MCP Server

To make decisions on behalf of a user, your agent first pulls identity data using `get_my_profile`. It can also map out organizational structure by listing all teams (`list_teams`) or checking which files were recently viewed with `list_recent_files`. This allows the system to build comprehensive context for any workflow that requires access control.

Setup guide

Set up Zoho WorkDrive 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 Zoho WorkDrive 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="Zoho WorkDrive_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zoho WorkDrive tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoho WorkDrive. 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 Zoho WorkDrive MCP in Google ADK

You call `list_files` through the MCP Server. The Gemini models process this output, allowing your agent to not only list files but also summarize their contents or suggest next steps based on that data.

Yes, the `create_folder` tool handles this. Your agent executes the call, and since it's integrated with Google Cloud infrastructure, you get immediate logging and tracing of that structural change.

Use `list_file_permissions`. This tool gathers all necessary access data. Your agent uses this list to decide if a write operation, like renaming a file (`rename_file`), is appropriate for that user.

Yes. You can create new share links with `create_share_link` and then list existing ones using `list_share_links`. This is useful for building knowledge graphs inside BigQuery.

This server touches file metadata, team names, and user profile information. The key data type you are managing when listing files is the file path/name.

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