ZegoCloud Connector for AI agents.
3 live capabilities
Manage live streams and real-time messaging via natural language commands.
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Why people use ZegoCloud
ZegoCloud for Live Stream Moderation
With this Connector, you just tell your agent to handle it. It uses kickout_user to clear the room in seconds. You stay in your flow while the agent handles the dirty work.
What Vinkius changes
You get a natural language interface for your ZegoCloud moderation and messaging capabilities.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Live Event Moderation
A moderator notices a troll in a high-traffic room and asks the agent to remove them using kickout_user.
- Real-world use case 02
Rapid Support
A support lead needs to send a technical command to a user and uses send_peer_message to do it instantly.
- Real-world use case 03
Emergency Stream Cut
A broadcast goes off-script and the admin tells the agent to use stop_publish on the specific stream ID.
Complete set · 3capabilities
The complete ZegoCloud capability set.
These are the exact actions your AI can choose when you ask it to work with ZegoCloud.
01—03
3 capabilities in this set.
Part of 3 available through ZegoCloud.
- 01 Capability
Kickout user
Removes a specific user from a room. Use this to stop harassment or spam immediately.
- 02 Capability
Send peer message
Sends a direct text message or command to a user. It's the fastest way to reach someone in a large group.
- 03 Capability
Stop publish
Ends a specific live stream. This is your kill switch for content that shouldn't be live.
Set up in minutes
One URL. Then ask ZegoCloud to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ZegoCloud from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_aHG6b1W7K3KQMI23eWD2Zy3nI8QD6Qa3zfjCnnr6/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ZegoCloud, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ZegoCloud for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_aHG6b1W7K3KQMI23eWD2Zy3nI8QD6Qa3zfjCnnr6/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ZegoCloud URL.
- Step 03
Save and start
Save the connection and enable ZegoCloud in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"zegocloud": {
"url": "https://edge.vinkius.com/vk_preview_aHG6b1W7K3KQMI23eWD2Zy3nI8QD6Qa3zfjCnnr6/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ZegoCloud
Open Agent mode in chat and ask: "Using ZegoCloud, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"zegocloud": {
"url": "https://edge.vinkius.com/vk_preview_aHG6b1W7K3KQMI23eWD2Zy3nI8QD6Qa3zfjCnnr6/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ZegoCloud
Ask Copilot: "Using ZegoCloud, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"zegocloud": {
"url": "https://edge.vinkius.com/vk_preview_aHG6b1W7K3KQMI23eWD2Zy3nI8QD6Qa3zfjCnnr6/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ZegoCloud
Open Cascade and ask: "Using ZegoCloud, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"zegocloud": {
"url": "https://edge.vinkius.com/vk_preview_aHG6b1W7K3KQMI23eWD2Zy3nI8QD6Qa3zfjCnnr6/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ZegoCloud
Ask Cline: "Using ZegoCloud, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add zegocloud --transport http "https://edge.vinkius.com/vk_preview_aHG6b1W7K3KQMI23eWD2Zy3nI8QD6Qa3zfjCnnr6/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ZegoCloud
Ask Claude: "Using ZegoCloud, show me...". 3 tools are ready
Where the request belongs
Work ZegoCloud can move forward.
This is for community managers who need to police live events, support engineers handling high-volume user queries, and developers testing RTC logic.
Community Moderator
Removes trolls and manages audience behavior during high-traffic live events.
Support Engineer
Sends technical commands and direct messages to users from a central chat console.
RTC Developer
Tests messaging workflows and real-time communication logic without leaving the editor.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep ZegoCloud connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about ZegoCloud.
The practical details behind the request, access and result.
Can I use ZegoCloud MCP to moderate my live streams?
Yes, this Connector lets your agent monitor and manage your live content, including removing disruptive users and stopping broadcasts.
How does ZegoCloud MCP help with user support?
You can use it to send direct messages or system commands to specific users without having to navigate through a complex dashboard.
Does ZegoCloud MCP work with my existing video chat setup?
If you're already using ZegoCloud for your RTC or messaging infrastructure, this Connector connects those services to your AI client.
Can I stop a stream using ZegoCloud MCP?
You can tell your agent to stop a specific stream ID, which immediately terminates the publishing session.
Is ZegoCloud MCP good for large community rooms?
It's built for that. It helps you manage high-traffic environments by giving you a natural language way to kick users and send messages.
What happens when I use ZegoCloud MCP to kick a user?
Your agent identifies the user in the room and uses the kickout_user capability to remove them instantly.
Can I remove a specific user from a video room if they are violating terms?
Yes. Use the kickout_user capability by providing the Room ID and User ID. You can also include a custom reason for the removal.
How do I stop a live stream that is currently broadcasting?
Simply use the stop_publish capability with the specific Stream ID. This will immediately terminate the broadcast for that stream.
Is it possible to send a private system command to a user's application?
Yes. The send_peer_message capability allows you to send messages with type '2' (Command), which can be used to trigger logic within the recipient's app.
One connection away
Give your agent a direct line to ZegoCloud.
Connect ZegoCloud once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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