LiveKit MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect LiveKit through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The LiveKit MCP Server for Pydantic AI 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to LiveKit "
            "(41 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in LiveKit?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every LiveKit tool response against typed schemas, catching data inconsistencies at build time. Connect 41 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 41 tools from LiveKit with type-safe schemas

Why Use Pydantic AI with the LiveKit MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your LiveKit integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your LiveKit connection logic from agent behavior for testable, maintainable code

LiveKit + Pydantic AI Use Cases

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

Type-safe data pipelines: query LiveKit with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple LiveKit tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query LiveKit and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock LiveKit responses and write comprehensive agent tests

Example Prompts for LiveKit in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

LiveKit + Pydantic AI FAQ

Common questions about integrating LiveKit MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your LiveKit MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.