Volcengine RTC Connector for AI agents.
10 live capabilities
Manage live streaming audio and video feeds via natural language.
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Why people use Volcengine RTC
Volcengine RTC Live Stream Moderation
With this Connector, you just type 'kick the troll in room 44'. Your agent handles the Volcengine API call instantly. You stay in the flow of the stream while the agent does the heavy lifting.
What Vinkius changes
You get a hands-free way to manage professional-grade live broadcasting.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Handling a toxic live chat
A moderator notices a user being abusive.
- Real-world use case 02
Monitoring stream health
A network analyst notices a drop in quality.
- Real-world use case 03
Capturing a live highlight
A producer wants to save a specific moment.
Complete set · 10capabilities
The complete Volcengine RTC capability set.
These are the exact actions your AI can choose when you ask it to work with Volcengine RTC.
01—04
4 capabilities in this set.
Part of 10 available through Volcengine RTC.
- 01 Capability
Get active rooms
See a list of every room currently broadcasting on your Volcengine account. It helps you keep track of your entire live presence.
- 02 Capability
Get quality metrics
Pull deep-dive data on a specific room's performance. Use this to see exactly where a stream is lagging or dropping.
- 03 Capability
Get room users
Get a full list of everyone currently in a room. This is how your agent identifies who needs to be muted or kicked.
- 04 Capability
Kick user
Remove a specific person from a live room immediately. It's the fastest way to handle abusive behavior in real time.
05—07
3 capabilities in this set.
Part of 10 available through Volcengine RTC.
- 05 Capability
Mute stream
Turn off the audio or video for a specific stream. This is perfect for silencing a broadcaster who is violating rules.
- 06 Capability
Start cloud record
Tell Volcengine to start saving the live stream to the cloud. It makes capturing high-quality VODs much easier.
- 07 Capability
Start transcode
Begin cloud mixing and transcoding for your streams. This allows you to output your broadcast in multiple formats at once.
08—10
3 capabilities in this set.
Part of 10 available through Volcengine RTC.
- 08 Capability
Stop cloud record
End the cloud recording session. Use this to ensure your VOD files are saved correctly without extra steps.
- 09 Capability
Stop transcode
Stop the cloud transcoding process. It helps you manage your cloud resources and costs effectively.
- 10 Capability
Unmute stream
Restore audio or video for a previously muted stream. Use this once a broadcaster is back in compliance.
Set up in minutes
One URL. Then ask Volcengine RTC to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Volcengine RTC 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_cTECXMoxIoucbIsY5YNshUMd0RROvKR5iI32dMyb/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 Volcengine RTC, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Volcengine RTC for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_cTECXMoxIoucbIsY5YNshUMd0RROvKR5iI32dMyb/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 Volcengine RTC URL.
- Step 03
Save and start
Save the connection and enable Volcengine RTC in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"volcengine-rtc": {
"url": "https://edge.vinkius.com/vk_preview_cTECXMoxIoucbIsY5YNshUMd0RROvKR5iI32dMyb/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 Volcengine RTC
Open Agent mode in chat and ask: "Using Volcengine RTC, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"volcengine-rtc": {
"url": "https://edge.vinkius.com/vk_preview_cTECXMoxIoucbIsY5YNshUMd0RROvKR5iI32dMyb/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 Volcengine RTC
Ask Copilot: "Using Volcengine RTC, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"volcengine-rtc": {
"url": "https://edge.vinkius.com/vk_preview_cTECXMoxIoucbIsY5YNshUMd0RROvKR5iI32dMyb/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 Volcengine RTC
Open Cascade and ask: "Using Volcengine RTC, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"volcengine-rtc": {
"url": "https://edge.vinkius.com/vk_preview_cTECXMoxIoucbIsY5YNshUMd0RROvKR5iI32dMyb/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 Volcengine RTC
Ask Cline: "Using Volcengine RTC, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add volcengine-rtc --transport http "https://edge.vinkius.com/vk_preview_cTECXMoxIoucbIsY5YNshUMd0RROvKR5iI32dMyb/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 Volcengine RTC
Ask Claude: "Using Volcengine RTC, show me...". 10 tools are ready
Where the request belongs
Work Volcengine RTC can move forward.
This is for the people who deal with the chaos of live broadcasting. It is for the ops team that needs to keep a stream clean and the engineers who need to see why a stream is lagging.
Stream Moderator
Handles live chat and keeps the broadcast professional by removing problematic users instantly.
Broadcast Engineer
Monitors network health and manages cloud transcoding across multiple rooms.
Event Producer
Coordinates multi-stream mixes and starts recordings for VOD highlights.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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LiveKit
Manage real-time video, audio, and data sessions via LiveKit. create rooms, manage participants, and trigger recordings directly from your AI agent.
ZegoCloud
Manage real-time communication (RTC) and interactive messaging. kick users, stop streams, and send peer messages via AI.
Agora
Orchestrate Agora real-time engagement. manage channels, monitor usage, and handle cloud recording directly from any AI agent.
Dyte
Manage live video and audio experiences via Dyte. create meetings, manage participants, and control recordings or livestreams directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Volcengine RTC connected.
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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 Volcengine RTC.
The practical details behind the request, access and result.
Can Volcengine RTC help me moderate my live stream?
Yes, it lets your agent mute or kick users in real time. You can give your agent instructions to handle specific behaviors so you don't have to manually monitor every single interaction.
How do I start a cloud recording with Volcengine RTC?
You just tell your agent to start it. It will trigger the cloud recording process for you so you don't have to worry about missing the start of a key moment.
Can my agent check if my stream is lagging?
Yes, it can pull quality metrics. Your agent can monitor the network health and let you know if there are issues with packet loss or jitter in your broadcast.
Does Volcengine RTC work for TikTok-style streams?
Yes, it uses the same engine that powers major global platforms like TikTok. It's designed for professional-grade live streaming infrastructure.
Can I manage multiple rooms at once?
Yes, your agent can list all active rooms and check the status of each one. This makes it easy to oversee a large network of simultaneous broadcasts.
Does this support Volcengine HMAC-SHA256 V4 Signatures?
Absolutely. Generating ByteDance's API signatures programmatically is challenging for raw agents. This backend completely conceals the cryptography layer so your agent can execute queries instantly just by having the Secret Key stored securely.
One connection away
Give your agent a direct line to Volcengine RTC.
Connect Volcengine RTC once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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