Liveblocks (Collaborative) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 19 tools to Authorize User, Broadcast Event, Create Room, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Liveblocks (Collaborative) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Liveblocks (Collaborative) MCP Server for OpenAI Agents SDK 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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Liveblocks (Collaborative) Assistant",
instructions=(
"You help users interact with Liveblocks (Collaborative). "
"You have access to 19 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Liveblocks (Collaborative)"
)
print(result.final_output)
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.
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.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to wire Liveblocks (Collaborative) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Liveblocks (Collaborative) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Liveblocks (Collaborative) through the Model Context Protocol.
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) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Liveblocks (Collaborative) MCP Server delivers measurable value.
Automated workflows: build agents that query Liveblocks (Collaborative), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Liveblocks (Collaborative), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Liveblocks (Collaborative) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Liveblocks (Collaborative) to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Liveblocks (Collaborative) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Liveblocks (Collaborative) to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Liveblocks (Collaborative) + OpenAI Agents SDK FAQ
Common questions about integrating Liveblocks (Collaborative) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
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