Bring Real Time Sync
to OpenAI Agents SDK
Learn how to connect Liveblocks (Collaborative) to OpenAI Agents SDK 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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 19 tools from Liveblocks (Collaborative) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Liveblocks (Collaborative), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Liveblocks (Collaborative) in OpenAI Agents SDK
Liveblocks (Collaborative) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Liveblocks (Collaborative) to OpenAI Agents SDK 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 OpenAI Agents SDK
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 OpenAI Agents SDK 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 OpenAI Agents SDK
Every tool call from OpenAI Agents SDK 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 the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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