Bring Webrtc
to Pydantic AI
Learn how to connect LiveKit to Pydantic AI and start using 41 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your LiveKit Server URL and API Token/Secret
- Start managing your real-time infrastructure from Claude, Cursor, or any MCP-compatible client
No more manual dashboard navigation to check who is in a room or to force-mute a noisy participant. Your AI acts as a real-time session administrator.
Built-in capabilities (41)
Explicitly trigger a named agent to join a specific room
Provision an ingress point (RTMP, WHIP, or URL pull)
Create a room with specific settings
Map incoming calls to specific rooms based on phone numbers or pins
Define how incoming SIP calls are handled
Define a trunk for dialing out
Dial a SIP number and bring them into a LiveKit room
Remove a dispatch rule
Remove an ingress point
Forcibly disconnect all participants and delete the room
Remove a SIP dispatch rule
Remove a SIP trunk configuration
Get info for a specific participant
List dispatches for a room
List active egress jobs
List provisioned ingresses
List participants in a room
List numbers owned by the project
List active/open rooms
List configured SIP inbound trunks
List configured SIP outbound trunks
Mute/unmute a participant's track
Buy a number and optionally assign a SIP dispatch rule
Release a number back to the inventory
Kick a participant from a room
Search for available numbers by country/area code
Send data packets to participants
Record a specific participant's audio and video
Record an entire room using a web layout
Record one audio and one video track together
Export a single track without transcoding
Record any web page
Stop an active egress
Transfer an active SIP call to another number or URI
Update room or participant settings for a reusable ingress
Change the web layout of an active RoomComposite egress
Update metadata or permissions for a participant
Change the dispatch rule for a number
Update room-wide metadata
Add/remove RTMP/SRT output URLs from an active stream
Subscribe/unsubscribe a participant from specific tracks
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your LiveKit integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your LiveKit connection logic from agent behavior for testable, maintainable code
LiveKit in Pydantic AI
LiveKit and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect LiveKit to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for LiveKit in Pydantic AI
The LiveKit 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. All 41 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
LiveKit for Pydantic AI
Every tool call from Pydantic AI to the LiveKit MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I remotely mute a participant who has background noise?
Yes. Use the mute_published_track tool by providing the room name, participant identity, and the specific track SID. You can set the muted boolean to true to silence them immediately.
Is it possible to record a session for later viewing?
Absolutely. You can use start_room_composite_egress to record an entire room using a web layout, or start_web_egress to record a specific URL. These tools leverage LiveKit's Egress service.
How do I kick a disruptive user from a room?
You can use the remove_participant tool. Simply provide the room name and the identity of the participant you wish to disconnect.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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