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Liveblocks MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 18 tools to Authorize User, Broadcast Event, Create Room, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Liveblocks 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 MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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 Assistant",
            instructions=(
                "You help users interact with Liveblocks. "
                "You have access to 18 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Liveblocks"
        )
        print(result.final_output)

asyncio.run(main())
Liveblocks
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MCP Server

Connect your Liveblocks account to any AI agent to orchestrate multiplayer experiences and real-time collaboration features through natural language.

The OpenAI Agents SDK auto-discovers all 18 tools from Liveblocks through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Liveblocks, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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_user and identify_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.

The Liveblocks MCP Server exposes 18 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 18 Liveblocks tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Liveblocks through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-collaboration, room-management, user-presence, 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

Authorize user on Liveblocks

Obtain an access token for a client to enter a room

broadcast

Broadcast event on Liveblocks

Broadcast a JSON event to a room

create

Create room on Liveblocks

Create a new room

create

Create thread on Liveblocks

Create a thread and the first comment

delete

Delete room on Liveblocks

Delete a room

get

Get room on Liveblocks

Retrieve room details

get

Get storage on Liveblocks

Get the room's Storage tree

get

Get thread on Liveblocks

Get a specific thread

get

Get ydoc on Liveblocks

Get a JSON representation of the Yjs document

identify

Identify user on Liveblocks

Permissions are managed on the backend. Obtain an ID token for a client

initialize

Initialize storage on Liveblocks

Initialize or reinitialize Storage

list

List active users on Liveblocks

List users currently in the room

list

List rooms on Liveblocks

Can be filtered by metadata or access. List rooms with filtering and pagination

list

List threads on Liveblocks

List threads in a room

patch

Patch storage on Liveblocks

Apply JSON Patch operations to Storage

resolve

Resolve thread on Liveblocks

Resolve a thread

update

Update room on Liveblocks

Update room properties

update

Update ydoc on Liveblocks

Send a binary Yjs update

Connect Liveblocks to OpenAI Agents SDK via MCP

Follow these steps to wire Liveblocks into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 18 tools from Liveblocks

Why Use OpenAI Agents SDK with the Liveblocks MCP Server

OpenAI Agents SDK provides unique advantages when paired with Liveblocks through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Liveblocks + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Liveblocks MCP Server delivers measurable value.

01

Automated workflows: build agents that query Liveblocks, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Liveblocks, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Liveblocks tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Liveblocks to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Liveblocks in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Liveblocks immediately.

01

"List the first 10 rooms in my Liveblocks project."

02

"Create a new room with ID 'sprint-planning' and set default access to room:write."

03

"Who is currently active in the room 'main-editor'?"

Troubleshooting Liveblocks MCP Server with OpenAI Agents SDK

Common issues when connecting Liveblocks to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Liveblocks + OpenAI Agents SDK FAQ

Common questions about integrating Liveblocks MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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