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Liveblocks MCP Server for LangChainGive LangChain instant access to 18 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 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 MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 18 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

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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": {
            "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, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Liveblocks
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 MCP Server

Connect your Liveblocks account to any AI agent to orchestrate multiplayer experiences and real-time collaboration features through natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Liveblocks through native MCP adapters. Connect 18 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 Management — List, create, update, and delete rooms to manage your application's collaborative spaces.
  • User Authentication — Generate access tokens and identify users with specific permissions using authorize_user and identify_user.
  • Collaborative Storage — Inspect and patch room storage state or manage Yjs documents for shared editing.
  • Comments & Threads — Query, create, and resolve comment threads to keep track of team discussions within rooms.
  • Real-time Presence — List active users in a room or broadcast custom events to connected clients.

The Liveblocks MCP Server exposes 18 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 18 Liveblocks tools available for LangChain

When LangChain connects to Liveblocks through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-collaboration, room-management, user-presence, 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

Obtain an access token for a client to enter a room

broadcast

Broadcast event on Liveblocks

Broadcast a JSON event to a room

create

Create room on Liveblocks

Create a new room

create

Create thread on Liveblocks

Create a thread and the first comment

delete

Delete room on Liveblocks

Delete a room

get

Get room on Liveblocks

Retrieve room details

get

Get storage on Liveblocks

Get the room's Storage tree

get

Get thread on Liveblocks

Get a specific thread

get

Get ydoc on Liveblocks

Get a JSON representation of the Yjs document

identify

Identify user on Liveblocks

Permissions are managed on the backend. Obtain an ID token for a client

initialize

Initialize storage on Liveblocks

Initialize or reinitialize Storage

list

List active users on Liveblocks

List users currently in the room

list

List rooms on Liveblocks

Can be filtered by metadata or access. List rooms with filtering and pagination

list

List threads on Liveblocks

List threads in a room

patch

Patch storage on Liveblocks

Apply JSON Patch operations to Storage

resolve

Resolve thread on Liveblocks

Resolve a thread

update

Update room on Liveblocks

Update room properties

update

Update ydoc on Liveblocks

Send a binary Yjs update

Connect Liveblocks to LangChain via MCP

Follow these steps to wire Liveblocks 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 18 tools from Liveblocks via MCP

Why Use LangChain with the Liveblocks MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Liveblocks 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 queries for multi-turn workflows

Liveblocks + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Liveblocks in LangChain

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

01

"List the first 10 rooms in my Liveblocks project."

02

"Create a new room with ID 'sprint-planning' and set default access to room:write."

03

"Who is currently active in the room 'main-editor'?"

Troubleshooting Liveblocks MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Liveblocks + LangChain FAQ

Common questions about integrating Liveblocks 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.

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