4,000+ servers built on vurb.ts
Vinkius

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

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Liveblocks (Collaborative) 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 Liveblocks (Collaborative) MCP Server for LangChain 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import 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({
        "liveblocks-collaborative": {
            "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 Liveblocks (Collaborative), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Liveblocks (Collaborative)
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.

LangChain's ecosystem of 500+ components combines seamlessly with Liveblocks (Collaborative) through native MCP adapters. Connect 19 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, 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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

Follow these steps to wire Liveblocks (Collaborative) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 19 tools from Liveblocks (Collaborative) via MCP

Why Use LangChain with the Liveblocks (Collaborative) MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Liveblocks (Collaborative) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Liveblocks (Collaborative) queries for multi-turn workflows

Liveblocks (Collaborative) + LangChain Use Cases

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

01

RAG with live data: combine Liveblocks (Collaborative) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Liveblocks (Collaborative), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Liveblocks (Collaborative) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Liveblocks (Collaborative) tool call, measure latency, and optimize your agent's performance

Example Prompts for Liveblocks (Collaborative) in LangChain

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

01

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

02

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

03

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

Troubleshooting Liveblocks (Collaborative) MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Liveblocks (Collaborative) + LangChain FAQ

Common questions about integrating Liveblocks (Collaborative) MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Explore More MCP Servers

View all →