Zhumu / 瞩目 MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Zhumu / 瞩目 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="zhumu_agent",
instruction=(
"You help users interact with Zhumu / 瞩目 "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Zhumu / 瞩目 MCP Server
Empower your AI agent to orchestrate your video collaboration with Zhumu (瞩目), the premier cloud meeting platform in China. By connecting Zhumu to your agent, you transform complex meeting scheduling, user auditing, and recording management into a natural conversation. Your agent can instantly list upcoming meetings, retrieve detailed participant information, monitor cloud recordings, and even schedule new sessions without you ever needing to navigate the comprehensive Zhumu portal. Whether you are conducting a cross-functional team sync or coordinating a large-scale webinar, your agent acts as a real-time collaboration assistant, keeping your schedule accurate and your meetings organized.
Google ADK natively supports Zhumu / 瞩目 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Meeting Orchestration — List, retrieve, and schedule video meetings with full support for topics and timing.
- User Auditing — Browse and retrieve detailed user profiles across your organization.
- Recording Control — List and access cloud recordings for past sessions to ensure knowledge sharing.
- Webinar Monitoring — Monitor scheduled webinars and participant engagement levels.
- Usage Insights — Retrieve high-level account reports and activity summaries for your collaboration environment.
The Zhumu / 瞩目 MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Zhumu / 瞩目 to Google ADK via MCP
Follow these steps to integrate the Zhumu / 瞩目 MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Zhumu / 瞩目 via MCP
Why Use Google ADK with the Zhumu / 瞩目 MCP Server
Google ADK provides unique advantages when paired with Zhumu / 瞩目 through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Zhumu / 瞩目
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Zhumu / 瞩目 tools with BigQuery, Vertex AI, and Cloud Functions
Zhumu / 瞩目 + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Zhumu / 瞩目 MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Zhumu / 瞩目 and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Zhumu / 瞩目 tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Zhumu / 瞩目 regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Zhumu / 瞩目
Zhumu / 瞩目 MCP Tools for Google ADK (10)
These 10 tools become available when you connect Zhumu / 瞩目 to Google ADK via MCP:
create_meeting
Create a new meeting
delete_meeting
Delete a meeting
get_account_report
Get usage reports
get_meeting
Get meeting details
get_user
Get user details
list_meetings
List upcoming meetings
list_recordings
List cloud recordings
list_users
List organization users
list_webinars
List scheduled webinars
update_meeting
Update meeting settings
Example Prompts for Zhumu / 瞩目 in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Zhumu / 瞩目 immediately.
"List all my upcoming meetings in Zhumu."
"Schedule a meeting titled 'Design Feedback' for today."
"Show me the last 5 cloud recordings."
Troubleshooting Zhumu / 瞩目 MCP Server with Google ADK
Common issues when connecting Zhumu / 瞩目 to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkZhumu / 瞩目 + Google ADK FAQ
Common questions about integrating Zhumu / 瞩目 MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Zhumu / 瞩目 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zhumu / 瞩目 to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.