ZEGO / 即构科技 MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ZEGO / 即构科技 as an MCP tool provider through 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="zego_agent",
tools=tools,
system_message=(
"You help users with ZEGO / 即构科技. "
"8 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 ZEGO / 即构科技 MCP Server
Empower your AI agent to orchestrate your real-time communication infrastructure with ZEGO (即构科技), the premier provider of global video and audio RTC services. By connecting ZEGO to your agent, you transform complex room management, stream control, and user status tracking into a natural conversation. Your agent can instantly retrieve active room lists, monitor user counts, force-stop media streams, and audit service usage statistics without you ever needing to navigate multiple technical dashboards. Whether you are building an automated moderation system for live rooms or monitoring cross-regional connectivity, your agent acts as a real-time RTC operations assistant, providing accurate and reliable results from a single, authorized source.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ZEGO / 即构科技 tools. Connect 8 tools through 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
- Room Orchestration — List active rooms, retrieve detailed metadata, and monitor real-time user activity.
- User Management — Track user status (online/offline), list members in specific rooms, and manage access (kick users).
- Stream Control — Monitor active media streams and force-terminate unauthorized or problematic broadcasts.
- Usage Auditing — Retrieve comprehensive audio and video duration statistics for specific time ranges.
- Operational Insights — Monitor total online user counts and API connectivity status to ensure system-wide health.
The ZEGO / 即构科技 MCP Server exposes 8 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 ZEGO / 即构科技 to AutoGen via MCP
Follow these steps to integrate the ZEGO / 即构科技 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 8 tools from ZEGO / 即构科技 automatically
Why Use AutoGen with the ZEGO / 即构科技 MCP Server
AutoGen provides unique advantages when paired with ZEGO / 即构科技 through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ZEGO / 即构科技 tools to solve complex tasks
Role-based architecture lets you assign ZEGO / 即构科技 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 ZEGO / 即构科技 tool calls
Code execution sandbox: AutoGen agents can write and run code that processes ZEGO / 即构科技 tool responses in an isolated environment
ZEGO / 即构科技 + AutoGen Use Cases
Practical scenarios where AutoGen combined with the ZEGO / 即构科技 MCP Server delivers measurable value.
Collaborative analysis: one agent queries ZEGO / 即构科技 while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from ZEGO / 即构科技, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using ZEGO / 即构科技 data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process ZEGO / 即构科技 responses in a sandboxed execution environment
ZEGO / 即构科技 MCP Tools for AutoGen (8)
These 8 tools become available when you connect ZEGO / 即构科技 to AutoGen via MCP:
check_user_status
Check status of multiple users
get_online_count
Get total online user count
get_room_streams
List active streams in a room
get_room_users
List users in a room
get_usage_stats
Get service usage statistics
kick_room_user
Kick user from room
list_rooms
List active rooms
stop_media_stream
Force stop a stream
Example Prompts for ZEGO / 即构科技 in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with ZEGO / 即构科技 immediately.
"List all active rooms in our ZEGO project."
"Check the status for these users: 'user_01,user_02'."
"What is our video usage duration for the last 7 days?"
Troubleshooting ZEGO / 即构科技 MCP Server with AutoGen
Common issues when connecting ZEGO / 即构科技 to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"ZEGO / 即构科技 + AutoGen FAQ
Common questions about integrating ZEGO / 即构科技 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 ZEGO / 即构科技 to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
