Liveblocks (Collaborative) MCP Server for LlamaIndexGive LlamaIndex instant access to 19 tools to Authorize User, Broadcast Event, Create Room, and more

Name: Liveblocks (Collaborative)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Liveblocks (Collaborative) MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 19 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 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 Liveblocks (Collaborative). "
            "You have 19 tools available."
        ),
    )

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

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 Liveblocks (Collaborative) MCP Server

Connect your Liveblocks account to any AI agent to orchestrate real-time collaborative experiences and manage infrastructure through natural conversation.

LlamaIndex agents combine Liveblocks (Collaborative) tool responses with indexed documents for comprehensive, grounded answers. Connect 19 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, update, and delete collaborative rooms with custom metadata and access controls.
Presence & Interaction — Monitor active users in any room, set ephemeral presence, and broadcast custom events to connected clients.
Data Synchronization — Retrieve and patch room storage or Yjs documents to manage shared state across collaborative sessions.
Comments & Feedback — Manage collaborative threads, create new discussions, and resolve existing ones to streamline team feedback.
User Identity — Authorize and identify users with specific permissions and group assignments via secure token generation.

The Liveblocks (Collaborative) MCP Server exposes 19 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 19 Liveblocks (Collaborative) tools available for LlamaIndex

When LlamaIndex connects to Liveblocks (Collaborative) through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-sync, multiplayer-experience, presence-tracking, 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.

authorize

Authorize user on Liveblocks (Collaborative)

Obtain an access token with specific permissions

broadcast

Broadcast event on Liveblocks (Collaborative)

Broadcast a JSON event to a room

create

Create room on Liveblocks (Collaborative)

Create a new room

create

Create thread on Liveblocks (Collaborative)

Create a thread and the first comment

delete

Delete room on Liveblocks (Collaborative)

Delete a room

get

Get room on Liveblocks (Collaborative)

Retrieve room details

get

Get storage on Liveblocks (Collaborative)

Get the room's Storage tree (LSON or JSON format)

get

Get ydoc on Liveblocks (Collaborative)

Get a JSON representation of the Yjs document

identify

Identify user on Liveblocks (Collaborative)

Obtain an ID token for a user

initialize

Initialize storage on Liveblocks (Collaborative)

Initialize or reinitialize Storage

list

List active users on Liveblocks (Collaborative)

List users currently in the room

list

List rooms on Liveblocks (Collaborative)

List rooms with filtering and pagination

list

List threads on Liveblocks (Collaborative)

List threads in a room

list

List versions on Liveblocks (Collaborative)

List Yjs version history snapshots

patch

Patch storage on Liveblocks (Collaborative)

Apply JSON Patch operations to Storage

resolve

Resolve thread on Liveblocks (Collaborative)

Resolve a thread

set

Set presence on Liveblocks (Collaborative)

Set ephemeral presence for a user/agent

update

Update room on Liveblocks (Collaborative)

Update room properties (metadata, permissions)

update

Update ydoc on Liveblocks (Collaborative)

Send a binary Yjs update

Connect Liveblocks (Collaborative) to LlamaIndex via MCP

Follow these steps to wire Liveblocks (Collaborative) 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 19 tools from Liveblocks (Collaborative)

Why Use LlamaIndex with the Liveblocks (Collaborative) MCP Server

LlamaIndex provides unique advantages when paired with Liveblocks (Collaborative) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Liveblocks (Collaborative) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Liveblocks (Collaborative) tool calls with transformations, filters, and re-rankers in a typed pipeline

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

Observability integrations show exactly what Liveblocks (Collaborative) tools were called, what data was returned, and how it influenced the final answer

Liveblocks (Collaborative) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Liveblocks (Collaborative) MCP Server delivers measurable value.

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

Data enrichment: query Liveblocks (Collaborative) 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 Liveblocks (Collaborative) for fresh data

Analytical workflows: chain Liveblocks (Collaborative) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Liveblocks (Collaborative) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Liveblocks (Collaborative) immediately.

"List all Liveblocks rooms created after January 1st with the metadata 'status:active'."

"Check who is currently collaborating in room 'editor-prod-42'."

"Create a new collaborative room for 'Sprint 24 Planning' with default access set to 'room:write'."

Troubleshooting Liveblocks (Collaborative) MCP Server with LlamaIndex

Common issues when connecting Liveblocks (Collaborative) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Liveblocks (Collaborative) + LlamaIndex FAQ

Common questions about integrating Liveblocks (Collaborative) 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 Liveblocks (Collaborative) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.