LiveKit MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LiveKit as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to LiveKit. "
            "You have 41 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine LiveKit tool responses with indexed documents for comprehensive, grounded answers. Connect 41 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the LiveKit MCP Server

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

Data-first architecture: LlamaIndex agents combine LiveKit tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain LiveKit tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query LiveKit, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what LiveKit tools were called, what data was returned, and how it influenced the final answer

LiveKit + LlamaIndex Use Cases

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

Hybrid search: combine LiveKit real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query LiveKit to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying LiveKit for fresh data

Analytical workflows: chain LiveKit queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for LiveKit in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

LiveKit + LlamaIndex FAQ

Common questions about integrating LiveKit MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query LiveKit tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.