How to Use the Zhumu / 瞩目 MCP in Google ADK

Q: Can I get detailed reports using Zhumu / 瞩目 and Google ADK?

Yes, use the getaccountreport tool. Your agent pulls usage metrics which are then readily available for complex reasoning within Gemini models.

Q: What kind of meetings can I list using Zhumu / 瞩目 and Google ADK?

You can list scheduled meetings via listmeetings, but you can also check on dedicated, larger events by calling listwebinars. This ensures comprehensive coverage.

Q: What data privacy precautions apply when using Zhumu / 瞩目 and Google ADK?

The server touches user details. When designing your agent, remember to restrict access to getuser calls. This keeps sensitive personnel information contained within approved workflows.

Act on Zhumu / 瞩目 data using the Google ADK for enterprise agents.

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Connect Zhumu / 瞩目 MCP to Google ADK

Create your Vinkius account to connect Zhumu / 瞩目 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 Zhumu / 瞩目 with Google ADK

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Perplexity

Creating and Managing Meetings with the MCP Server

Want to spin up a new meeting? Just invoke `create_meeting`. This tool handles all the complexity of setting up resources. You can also modify existing sessions using `update_meeting`. You need visibility into past events? Use `list_recordings` to access cloud recordings. The Google ADK lets your agent analyze this data within BigQuery.

Retrieving User and Account Data

The `get_user` tool pulls specific user profiles, which is perfect for grounding an agent's actions in known personnel. Similarly, `list_users` gives a complete roster of all organization members. For billing or usage questions, `get_account_report` fetches detailed reports. This data can then be loaded into Vertex AI for deeper analysis.

Handling the Meeting Lifecycle

Your agent manages meetings through the full lifecycle. You can list upcoming dates with `list_meetings`, or check details on a specific date using `get_meeting`. If things change, `delete_meeting` cleans up the record. Don't forget about large-scale events; `list_webinars` covers all scheduled webinars.

Setup guide

Set up Zhumu / 瞩目 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 Zhumu / 瞩目 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="Zhumu / 瞩目_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zhumu / 瞩目 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 Zhumu / 瞩目. 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 Zhumu / 瞩目 MCP in Google ADK

The Google ADK lets your agents interact with the MCP Server like a native data source. Because it integrates with BigQuery, you can process Zhumu's operational data alongside your existing enterprise datasets.

Yes, use the `get_account_report` tool. Your agent pulls usage metrics which are then readily available for complex reasoning within Gemini models.

You can list scheduled meetings via `list_meetings`, but you can also check on dedicated, larger events by calling `list_webinars`. This ensures comprehensive coverage.

While the server provides tools to manage meetings and users, you'll use `get_user` or `list_users` to read the data. Any updates must follow the platform’s native flow.

The server touches `user details`. When designing your agent, remember to restrict access to `get_user` calls. This keeps sensitive personnel information contained within approved workflows.

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