Compatible with every major AI agent and IDE
What is the Liveblocks MCP Server?
Connect your Liveblocks account to any AI agent to orchestrate multiplayer experiences and real-time collaboration features through natural language.
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_userandidentify_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.
How it works
- Subscribe to this server
- Enter your Liveblocks Secret Key
- Start managing your real-time infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Full-stack Developers — quickly debug room storage, manage user permissions, or clear stale rooms without leaving the terminal or IDE.
- Product Managers — monitor active collaboration sessions and review comment threads across different project rooms.
- DevOps Engineers — automate the provisioning of collaborative environments and manage access rules programmatically.
Built-in capabilities (18)
Obtain an access token for a client to enter a room
Broadcast a JSON event to a room
Create a new room
Create a thread and the first comment
Delete a room
Retrieve room details
Get the room's Storage tree
Get a specific thread
Get a JSON representation of the Yjs document
Permissions are managed on the backend. Obtain an ID token for a client
Initialize or reinitialize Storage
List users currently in the room
Can be filtered by metadata or access. List rooms with filtering and pagination
List threads in a room
Apply JSON Patch operations to Storage
Resolve a thread
Update room properties
Send a binary Yjs update
Why LangChain?
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.
- —
The largest ecosystem of integrations, chains, and agents. combine Liveblocks MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Liveblocks queries for multi-turn workflows
Liveblocks in LangChain
Liveblocks and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Liveblocks to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Liveblocks in LangChain
The Liveblocks 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. All 18 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Liveblocks for LangChain
Every tool call from LangChain to the Liveblocks MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I filter rooms by specific metadata using the AI?
You can ask the agent to use the list_rooms tool and provide a JSON string in the metadata parameter. For example, ask to 'List rooms where the project metadata is alpha'.
Can I generate a temporary access token for a user to join a room?
Yes. Use the authorize_user tool. Provide the Room ID and User ID, and the agent will return a token that grants access to that specific room.
Is it possible to permanently delete a room and its data?
Yes, the delete_room tool allows you to permanently remove a room and all associated storage, comments, and metadata. Use this with caution as it is irreversible.
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.
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.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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