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

Name: LiveKit
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LiveKit through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The LiveKit MCP Server for OpenAI Agents 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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python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="LiveKit Assistant",
            instructions=(
                "You help users interact with LiveKit. "
                "You have access to 41 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from LiveKit"
        )
        print(result.final_output)

asyncio.run(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 OpenAI Agents SDK auto-discovers all 41 tools from LiveKit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries LiveKit, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 41 tools from LiveKit

Why Use OpenAI Agents SDK with the LiveKit MCP Server

OpenAI Agents SDK provides unique advantages when paired with LiveKit through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

LiveKit + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the LiveKit MCP Server delivers measurable value.

Automated workflows: build agents that query LiveKit, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries LiveKit, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through LiveKit tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query LiveKit to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for LiveKit in OpenAI Agents SDK

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

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

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

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

Troubleshooting LiveKit MCP Server with OpenAI Agents SDK

Common issues when connecting LiveKit to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

LiveKit + OpenAI Agents SDK FAQ

Common questions about integrating LiveKit MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.