Zhumu / 瞩目 MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Zhumu / 瞩目 as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="zhumu_agent",
tools=tools,
system_message=(
"You help users with Zhumu / 瞩目. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Zhumu / 瞩目 tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Zhumu / 瞩目 MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Zhumu / 瞩目 automatically
Why Use AutoGen with the Zhumu / 瞩目 MCP Server
AutoGen provides unique advantages when paired with Zhumu / 瞩目 through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Zhumu / 瞩目 tools to solve complex tasks
Role-based architecture lets you assign Zhumu / 瞩目 tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Zhumu / 瞩目 tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Zhumu / 瞩目 tool responses in an isolated environment
Zhumu / 瞩目 + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Zhumu / 瞩目 MCP Server delivers measurable value.
Collaborative analysis: one agent queries Zhumu / 瞩目 while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Zhumu / 瞩目, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Zhumu / 瞩目 data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Zhumu / 瞩目 responses in a sandboxed execution environment
Zhumu / 瞩目 MCP Tools for AutoGen (10)
These 10 tools become available when you connect Zhumu / 瞩目 to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Zhumu / 瞩目 to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Zhumu / 瞩目 + AutoGen FAQ
Common questions about integrating Zhumu / 瞩目 MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect Zhumu / 瞩目 to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.