Liveblocks (Collaborative) MCP Server for AutoGenGive AutoGen instant access to 19 tools to Authorize User, Broadcast Event, Create Room, and more
GDPR Free for SubscribersMicrosoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Liveblocks (Collaborative) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Liveblocks (Collaborative) MCP Server for AutoGen 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
Geminiimport asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="liveblocks_collaborative_agent",
tools=tools,
system_message=(
"You help users with Liveblocks (Collaborative). "
"19 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Liveblocks (Collaborative) tools. Connect 19 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Liveblocks (Collaborative) into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Liveblocks (Collaborative) MCP Server
AutoGen provides unique advantages when paired with Liveblocks (Collaborative) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Liveblocks (Collaborative) tools to solve complex tasks
Role-based architecture lets you assign Liveblocks (Collaborative) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Liveblocks (Collaborative) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Liveblocks (Collaborative) tool responses in an isolated environment
Liveblocks (Collaborative) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Liveblocks (Collaborative) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Liveblocks (Collaborative) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Liveblocks (Collaborative), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Liveblocks (Collaborative) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Liveblocks (Collaborative) responses in a sandboxed execution environment
Example Prompts for Liveblocks (Collaborative) in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Liveblocks (Collaborative) to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Liveblocks (Collaborative) + AutoGen FAQ
Common questions about integrating Liveblocks (Collaborative) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Explore More MCP Servers
View all →
DeepL
9 toolsTranslate and audit text — manage multilingual communication via AI.
FieldAware
12 toolsConnect FieldAware to automate field service management — manage jobs, customers, and invoices directly from your AI agent.
Better Stack
10 toolsMonitor uptime and incidents via Better Stack — list monitors, heartbeats, and on-call schedules directly from any AI agent.
Gitea
10 toolsManage self-hosted Git via Gitea — list and manage repositories, track issues and pull requests, handle organizations, and audit branches directly from any AI agent.