
Connect Livekit Real Time Rooms (Alternative) to your AI
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Give your AI agents direct control over live audio and video sessions.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 10 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 10 available through LiveKit.
- 01
List ttvoice rooms
This capability pulls a list of all active rooms currently running on your LiveKit server.
- 02
Mute ttvoice track
This capability mutes or unmutes a specific audio or video track published by a participant.
- 03
Update ttvoice room metadata
This capability updates the room-level metadata using JSON strings.
- 04
Get ttvoice participant
This capability retrieves detailed information about a specific person in a room.
05-07
3 capabilities in this set.
Part of 10 available through LiveKit.
- 05
List ttvoice participants
This capability returns a list of every participant currently active in a room.
- 06
Remove ttvoice participant
This capability removes a participant from a room and revokes their access token on LiveKit Cloud.
- 07
Send ttvoice data
This capability broadcasts data messages to all participants in a room using either reliable or lossy delivery modes.
08-10
3 capabilities in this set.
Part of 10 available through LiveKit.
- 08
Update ttvoice participant metadata
This capability allows you to update the metadata associated with a specific participant.
- 09
Create ttvoice room
This capability creates a new LiveKit room with your specific settings. Participants join these rooms using access tokens.
- 10
Delete ttvoice room
This capability deletes a room and immediately disconnects all participants inside it.
Real work
What teams actually run
Conversational AI Agents
An agent joins a LiveKit room to hold a voice conversation with a user.
Automated Moderation
An AI monitors a live stream and mutes participants who violate rules.
Dynamic Game Channels
A game engine uses the AI to create voice channels based on player matchmaking.
Live Event Management
An operator uses an agent to broadcast real-time updates to all viewers in a room.
One connector, every AI
LiveKit works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put LiveKit to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
991ms average. Fast in production.
LiveKit is checked daily against the live service.
- Fastest day
- 797ms
- Slowest day
- 1152ms
- 14-day trend
- Improving-17%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LiveKit, so you can see the experience inside your AI.
It does not authenticate your account with LiveKit. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
LiveKit Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_nlZBaJ0GlGMCFllXCArNFWJJOBrHb4gCZhVb9hEY/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — LiveKit capabilities are ready to use.
{
"mcpServers": {
"livekit-real-time-rooms-alternative-mcp": {
"url": "https://edge.vinkius.com/vk_preview_nlZBaJ0GlGMCFllXCArNFWJJOBrHb4gCZhVb9hEY/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up LiveKit in Claude and other AIs
Who it's for
Built for the work LiveKit owners hand off.
This MCP is built for developers who need to bridge AI logic with real-time media streams.
- 01
AI Agent Developers
They hand off the task of managing voice rooms for conversational agents to the AI.
- 02
Video Platform Builders
They use the AI to automate how rooms are provisioned and how participants move through them.
- 03
Live Event Operators
They delegate real-time moderation and data broadcasting to an automated agent.
FAQ
Questions LiveKit owners ask.
- 01
How do I connect this MCP to my LiveKit account?
You need your API Key, API Secret, and Host URL from your LiveKit Cloud or self-hosted project settings. Enter these into the Vinkius credential fields to connect.
- 02
Can I use this with a self-hosted LiveKit instance?
Yes. As long as you provide the correct Host URL and credentials for your self-hosted server, the MCP can interact with it.
- 03
What happens to a participant when I remove them?
When you remove a participant, they are disconnected from the room. On LiveKit Cloud, their access token is also revoked.
- 04
Can the AI send messages to everyone in a room?
Yes. You can use the data messaging capability to send payloads to all participants using either reliable or lossy delivery modes.
- 05
Which AI clients can use this MCP?
Any MCP-compatible client, such as Claude, Cursor, Windsurf, or VS Code, can use these capabilities.
- 06
Can I list all active rooms on my LiveKit server?
Yes! Use the list_ttvoice_rooms capability. It calls the LiveKit RoomService ListRooms endpoint and returns all currently open rooms with their participant count, metadata, and creation time.
- 07
How do I mute a participant's microphone?
First use list_ttvoice_participants to get the track SID for the participant's audio track. Then call mute_ttvoice_track with the room name, participant identity, track SID, and muted set to 'true'.
- 08
Does this work with self-hosted LiveKit servers?
Yes! Just provide your self-hosted server's URL (e.g., https://livekit.yourserver.com) as the Host URL, along with the API Key and Secret from your server's config.yaml.
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Connect LiveKit to Claude, Cursor, ChatGPT & more
