Bring Real Time Sync
to Mastra AI
Learn how to connect Liveblocks (Collaborative) to Mastra AI and start using 19 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Liveblocks (Collaborative) MCP Server?
Connect your Liveblocks account to any AI agent to orchestrate real-time collaborative experiences and manage infrastructure through natural conversation.
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.
How it works
- Subscribe to this server
- Enter your Liveblocks Secret Key from the dashboard
- Start managing your real-time infrastructure from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — Monitor active collaboration sessions and review user feedback threads without leaving the chat interface.
- Full-stack Developers — Debug room storage, inspect Yjs document states, and manage room permissions directly from the IDE.
- Support Teams — Quickly identify active users in a room and verify room configurations to assist customers in real-time.
Built-in capabilities (19)
Obtain an access token with specific permissions
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 (LSON or JSON format)
Get a JSON representation of the Yjs document
Obtain an ID token for a user
Initialize or reinitialize Storage
List users currently in the room
List rooms with filtering and pagination
List threads in a room
List Yjs version history snapshots
Apply JSON Patch operations to Storage
Resolve a thread
Set ephemeral presence for a user/agent
Update room properties (metadata, permissions)
Send a binary Yjs update
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Liveblocks (Collaborative) tool infrastructure. Connect 19 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Liveblocks (Collaborative) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Liveblocks (Collaborative) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Liveblocks (Collaborative) in Mastra AI
Liveblocks (Collaborative) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Liveblocks (Collaborative) to Mastra AI 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 (Collaborative) in Mastra AI
The Liveblocks (Collaborative) 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 19 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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 (Collaborative) for Mastra AI
Every tool call from Mastra AI to the Liveblocks (Collaborative) 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 see which users are currently active in a specific collaboration room?
You can use the list_active_users tool by providing the Room ID. The agent will return a list of all users currently connected to that room, including their connection IDs and associated info.
Is it possible to inspect or modify the shared state of a room from the AI?
Yes! Use get_storage to retrieve the current LSON/JSON storage tree or patch_storage to update specific keys in the room's shared state. For Yjs-based rooms, you can use get_ydoc and update_ydoc.
Can I manage user comments and discussion threads through this integration?
Absolutely. You can use list_threads to see all discussions in a room, create_thread to start a new one, and resolve_thread to mark a discussion as completed.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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