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LiveKit MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 41 tools to Create Dispatch, Create Ingress, Create Room, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LiveKit through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The LiveKit MCP Server for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 41 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using LiveKit, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 LiveKit MCP Server

Connect your LiveKit infrastructure to any AI agent to orchestrate real-time communication environments through natural language. This server provides comprehensive control over WebRTC sessions, participant permissions, and media recording.

The Vercel AI SDK gives every LiveKit tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 41 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Room Lifecycle — Create, list, and delete rooms with custom timeouts, participant limits, and metadata.
  • Participant Control — List active participants, retrieve detailed info, or remove users from a session.
  • Media Management — Remotely mute or unmute specific tracks (audio/video) for any participant.
  • Real-time Data — Send data packets (Base64 encoded) to specific participants or entire rooms for custom signaling.
  • Recording & Egress — Start room-wide recordings using web layouts or record specific web pages via the Egress API.
  • Metadata & Permissions — Update room-wide metadata or modify individual participant permissions and subscriptions on the fly.

The LiveKit MCP Server exposes 41 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 41 LiveKit tools available for Vercel AI SDK

When Vercel AI SDK connects to LiveKit through Vinkius, your AI agent gets direct access to every tool listed below — spanning webrtc, real-time-audio, real-time-video, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create dispatch on LiveKit

Explicitly trigger a named agent to join a specific room

create

Create ingress on LiveKit

Provision an ingress point (RTMP, WHIP, or URL pull)

create

Create room on LiveKit

Create a room with specific settings

create

Create sip dispatch rule on LiveKit

Map incoming calls to specific rooms based on phone numbers or pins

create

Create sip inbound trunk on LiveKit

Define how incoming SIP calls are handled

create

Create sip outbound trunk on LiveKit

Define a trunk for dialing out

create

Create sip participant on LiveKit

Dial a SIP number and bring them into a LiveKit room

delete

Delete dispatch on LiveKit

Remove a dispatch rule

delete

Delete ingress on LiveKit

Remove an ingress point

delete

Delete room on LiveKit

Forcibly disconnect all participants and delete the room

delete

Delete sip dispatch rule on LiveKit

Remove a SIP dispatch rule

delete

Delete sip trunk on LiveKit

Remove a SIP trunk configuration

get

Get participant on LiveKit

Get info for a specific participant

list

List dispatch on LiveKit

List dispatches for a room

list

List egress on LiveKit

List active egress jobs

list

List ingress on LiveKit

List provisioned ingresses

list

List participants on LiveKit

List participants in a room

list

List phone numbers on LiveKit

List numbers owned by the project

list

List rooms on LiveKit

List active/open rooms

list

List sip inbound trunk on LiveKit

List configured SIP inbound trunks

list

List sip outbound trunk on LiveKit

List configured SIP outbound trunks

mute

Mute published track on LiveKit

Mute/unmute a participant's track

purchase

Purchase phone number on LiveKit

Buy a number and optionally assign a SIP dispatch rule

release

Release phone numbers on LiveKit

Release a number back to the inventory

remove

Remove participant on LiveKit

Kick a participant from a room

search

Search phone numbers on LiveKit

Search for available numbers by country/area code

send

Send data on LiveKit

Send data packets to participants

start

Start participant egress on LiveKit

Record a specific participant's audio and video

start

Start room composite egress on LiveKit

Record an entire room using a web layout

start

Start track composite egress on LiveKit

Record one audio and one video track together

start

Start track egress on LiveKit

Export a single track without transcoding

start

Start web egress on LiveKit

Record any web page

stop

Stop egress on LiveKit

Stop an active egress

transfer

Transfer sip participant on LiveKit

Transfer an active SIP call to another number or URI

update

Update ingress on LiveKit

Update room or participant settings for a reusable ingress

update

Update layout on LiveKit

Change the web layout of an active RoomComposite egress

update

Update participant on LiveKit

Update metadata or permissions for a participant

update

Update phone number on LiveKit

Change the dispatch rule for a number

update

Update room metadata on LiveKit

Update room-wide metadata

update

Update stream on LiveKit

Add/remove RTMP/SRT output URLs from an active stream

update

Update subscriptions on LiveKit

Subscribe/unsubscribe a participant from specific tracks

Connect LiveKit to Vercel AI SDK via MCP

Follow these steps to wire LiveKit into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 41 tools from LiveKit and passes them to the LLM

Why Use Vercel AI SDK with the LiveKit MCP Server

Vercel AI SDK provides unique advantages when paired with LiveKit through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same LiveKit integration everywhere

03

Built-in streaming UI primitives let you display LiveKit tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

LiveKit + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the LiveKit MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query LiveKit in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate LiveKit tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed LiveKit capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with LiveKit through natural language queries

Example Prompts for LiveKit in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LiveKit immediately.

01

"List all currently active rooms in my LiveKit instance."

02

"Create a new room called 'Strategy-Meeting' with a max of 10 participants."

03

"Mute the audio track for participant 'user_99' in the 'Main-Lobby' room."

Troubleshooting LiveKit MCP Server with Vercel AI SDK

Common issues when connecting LiveKit to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

LiveKit + Vercel AI SDK FAQ

Common questions about integrating LiveKit MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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