How to Use the ZEGO / 即构科技 MCP in CrewAI

Q: Can I list rooms using ZEGO / 即构科技 with CrewAI?

Yes. The listrooms tool is available for any agent in your crew to use when they need an overview of all current communication channels.

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Connect ZEGO / 即构科技 MCP to CrewAI

Create your Vinkius account to connect ZEGO / 即构科技 to CrewAI 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 ZEGO / 即构科技 with CrewAI

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Monitor User Status and Online Counts

A specialized 'Moderator' agent can use `check_user_status` to verify the status of multiple users. This is ideal for an autonomous system that needs constant user visibility. A dedicated 'Monitoring' agent runs `get_online_count`. It keeps a persistent count, allowing other agents to react if the total number of connected people changes drastically.

Map and Control Room Traffic

The 'Scout' agent uses `list_rooms` to map out all current active rooms. It then passes that list to another agent which runs `get_room_users` to populate a roster for each space. For media control, the system lets agents use `get_room_streams` and even execute `stop_media_stream` when necessary.

Execute Moderation and Track Metrics

If an agent detects problematic activity, it can autonomously invoke `kick_room_user`. This action is central to the 'Action' agent's mandate. The system also exposes `get_usage_stats`, allowing a dedicated 'Reporting' agent to gather metric data for continuous operational analysis.

Setup guide

Set up ZEGO / 即构科技 MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke ZEGO / 即构科技 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="ZEGO / 即构科技 Analyst",
    goal="Access and analyze ZEGO / 即构科技 data via MCP.",
    backstory="Expert analyst with direct ZEGO / 即构科技 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent ZEGO / 即构科技 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="ZEGO / 即构科技 Analyst",
        goal="Access and analyze ZEGO / 即构科技 data via MCP.",
        backstory="Expert analyst with direct ZEGO / 即构科技 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ZEGO / 即构科技 transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZEGO / 即构科技. 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 ZEGO / 即构科技 MCP in CrewAI

CrewAI runs specialized agents that collaborate. One agent can run `list_rooms` while another takes the list and uses it to call `get_room_users`, creating a powerful, multi-step operation.

It handles real-time communication metadata: user connection status, room memberships, stream availability, and overall service usage statistics. This powers the agents.

Yes. The `list_rooms` tool is available for any agent in your crew to use when they need an overview of all current communication channels.

It's designed for reliability. An 'Action' agent can execute `kick_room_user`, and the crew structure ensures this critical moderation step is completed, regardless of complexity.

You build a dedicated 'Reporting' agent whose sole job is to run `get_usage_stats` at set intervals. This keeps the overall operational monitoring consistent.

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