Liveblocks (Collaborative) MCP Server for LangChainGive LangChain instant access to 19 tools to Authorize User, Broadcast Event, Create Room, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 user on Liveblocks (Collaborative)
Obtain an access token with specific permissions
Broadcast event on Liveblocks (Collaborative)
Broadcast a JSON event to a room
Create room on Liveblocks (Collaborative)
Create a new room
Create thread on Liveblocks (Collaborative)
Create a thread and the first comment
Delete room on Liveblocks (Collaborative)
Delete a room
Get room on Liveblocks (Collaborative)
Retrieve room details
Get storage on Liveblocks (Collaborative)
Get the room's Storage tree (LSON or JSON format)
Get ydoc on Liveblocks (Collaborative)
Get a JSON representation of the Yjs document
Identify user on Liveblocks (Collaborative)
Obtain an ID token for a user
Initialize storage on Liveblocks (Collaborative)
Initialize or reinitialize Storage
List active users on Liveblocks (Collaborative)
List users currently in the room
List rooms on Liveblocks (Collaborative)
List rooms with filtering and pagination
List threads on Liveblocks (Collaborative)
List threads in a room
List versions on Liveblocks (Collaborative)
List Yjs version history snapshots
Patch storage on Liveblocks (Collaborative)
Apply JSON Patch operations to Storage
Resolve thread on Liveblocks (Collaborative)
Resolve a thread
Set presence on Liveblocks (Collaborative)
Set ephemeral presence for a user/agent
Update room on Liveblocks (Collaborative)
Update room properties (metadata, permissions)
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.
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 Liveblocks (Collaborative) MCP Server
LangChain provides unique advantages when paired with Liveblocks (Collaborative) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Liveblocks (Collaborative) 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 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.
RAG with live data: combine Liveblocks (Collaborative) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Liveblocks (Collaborative), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Liveblocks (Collaborative) tools with web scrapers, databases, and calculators in a single agent run
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.
"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 LangChain
Common issues when connecting Liveblocks (Collaborative) to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLiveblocks (Collaborative) + LangChain FAQ
Common questions about integrating Liveblocks (Collaborative) 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?
Explore More MCP Servers
View all →
DEV.to
38 toolsManage your DEV.to presence — publish articles, fetch latest posts, and update content directly from your AI agent.

ClickFunnels
8 toolsManage sales funnels and contacts via ClickFunnels 2.0 — track performance, monitor leads, and manage orders directly from any AI agent.

SendGrid Email Sender
1 toolsThis MCP does exactly one thing: it sends transactional emails using Twilio SendGrid. That's its only function, and nothing else. Incredible for giving your AI agents the ability to dispatch email reports.

Ahrefs
10 toolsProfessional SEO intelligence — audit backlinks, keywords, and domain health via AI.
