LiveKit MCP Server for LangChainGive LangChain instant access to 41 tools to Create Dispatch, Create Ingress, Create Room, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect LiveKit through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The LiveKit MCP Server for LangChain is a standout in the Communication Messaging category — giving your AI agent 41 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"livekit": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using LiveKit, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with LiveKit through native MCP adapters. Connect 41 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 dispatch on LiveKit
Explicitly trigger a named agent to join a specific room
Create ingress on LiveKit
Provision an ingress point (RTMP, WHIP, or URL pull)
Create room on LiveKit
Create a room with specific settings
Create sip dispatch rule on LiveKit
Map incoming calls to specific rooms based on phone numbers or pins
Create sip inbound trunk on LiveKit
Define how incoming SIP calls are handled
Create sip outbound trunk on LiveKit
Define a trunk for dialing out
Create sip participant on LiveKit
Dial a SIP number and bring them into a LiveKit room
Delete dispatch on LiveKit
Remove a dispatch rule
Delete ingress on LiveKit
Remove an ingress point
Delete room on LiveKit
Forcibly disconnect all participants and delete the room
Delete sip dispatch rule on LiveKit
Remove a SIP dispatch rule
Delete sip trunk on LiveKit
Remove a SIP trunk configuration
Get participant on LiveKit
Get info for a specific participant
List dispatch on LiveKit
List dispatches for a room
List egress on LiveKit
List active egress jobs
List ingress on LiveKit
List provisioned ingresses
List participants on LiveKit
List participants in a room
List phone numbers on LiveKit
List numbers owned by the project
List rooms on LiveKit
List active/open rooms
List sip inbound trunk on LiveKit
List configured SIP inbound trunks
List sip outbound trunk on LiveKit
List configured SIP outbound trunks
Mute published track on LiveKit
Mute/unmute a participant's track
Purchase phone number on LiveKit
Buy a number and optionally assign a SIP dispatch rule
Release phone numbers on LiveKit
Release a number back to the inventory
Remove participant on LiveKit
Kick a participant from a room
Search phone numbers on LiveKit
Search for available numbers by country/area code
Send data on LiveKit
Send data packets to participants
Start participant egress on LiveKit
Record a specific participant's audio and video
Start room composite egress on LiveKit
Record an entire room using a web layout
Start track composite egress on LiveKit
Record one audio and one video track together
Start track egress on LiveKit
Export a single track without transcoding
Start web egress on LiveKit
Record any web page
Stop egress on LiveKit
Stop an active egress
Transfer sip participant on LiveKit
Transfer an active SIP call to another number or URI
Update ingress on LiveKit
Update room or participant settings for a reusable ingress
Update layout on LiveKit
Change the web layout of an active RoomComposite egress
Update participant on LiveKit
Update metadata or permissions for a participant
Update phone number on LiveKit
Change the dispatch rule for a number
Update room metadata on LiveKit
Update room-wide metadata
Update stream on LiveKit
Add/remove RTMP/SRT output URLs from an active stream
Update subscriptions on LiveKit
Subscribe/unsubscribe a participant from specific tracks
Connect LiveKit to LangChain via MCP
Follow these steps to wire LiveKit into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the LiveKit MCP Server
LangChain provides unique advantages when paired with LiveKit through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine LiveKit MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across LiveKit queries for multi-turn workflows
LiveKit + LangChain Use Cases
Practical scenarios where LangChain combined with the LiveKit MCP Server delivers measurable value.
RAG with live data: combine LiveKit tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query LiveKit, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain LiveKit tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every LiveKit tool call, measure latency, and optimize your agent's performance
Example Prompts for LiveKit in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting LiveKit to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLiveKit + LangChain FAQ
Common questions about integrating LiveKit MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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