How to Use the Liveblocks (Collaborative) MCP in Vercel AI SDK

Q: How do I sync Liveblocks (Collaborative) state in Vercel AI SDK?

You call getydoc to pull the binary document state. The Vercel AI SDK then renders these updates as they stream in, keeping your view current.

Q: Can I track user presence using Liveblocks (Collaborative) and Vercel AI SDK?

Yes. Invoke listactiveusers inside your agent logic. The tool returns a list of connected IDs which you can map directly to your React components.

Q: Are threads in Liveblocks (Collaborative) accessible via Vercel AI SDK?

They are. Your agent uses listthreads to read existing comments and createthread to post new ones, making the collaboration loop fully automated.

Stream real-time collaborative state directly into your Vercel AI SDK interface without waiting for the server to catch up.

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Connect Liveblocks (Collaborative) MCP to Vercel AI SDK

Create your Vinkius account to connect Liveblocks (Collaborative) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Liveblocks (Collaborative) with Vercel AI SDK

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Live room monitoring in Vercel AI SDK

Your AI client tracks who is currently working on a project by calling `list_active_users`. It pulls the connection status instantly so the UI reflects real-time presence. This bypasses traditional polling. You get immediate updates on who is editing, allowing your frontend to show live cursors or status badges without lag.

Manage shared storage with this MCP Server

The `patch_storage` tool allows your agent to modify shared document states instantly. You can update JSON-based data structures or trigger state changes while the user interacts with the app. It handles the heavy lifting of synchronization. When your agent performs an update, the `get_storage` tool ensures the local view remains consistent with the remote document.

Thread and comment automation

Use `create_thread` to push feedback directly into a collaborative document. Your agent can tag specific lines or sections as it analyzes content. Once the work is done, `resolve_thread` closes the loop. This keeps your team focused on active tasks rather than digging through stale notifications.

Setup guide

Set up Liveblocks (Collaborative) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Liveblocks (Collaborative) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Liveblocks (Collaborative) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Liveblocks. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Liveblocks (Collaborative) MCP in Vercel AI SDK

You call `get_ydoc` to pull the binary document state. The Vercel AI SDK then renders these updates as they stream in, keeping your view current.

Yes. Invoke `list_active_users` inside your agent logic. The tool returns a list of connected IDs which you can map directly to your React components.

They are. Your agent uses `list_threads` to read existing comments and `create_thread` to post new ones, making the collaboration loop fully automated.

Provide your Liveblocks secret via the environment. The server uses `authorize_user` to generate the necessary tokens for your session.

Your document storage and presence data are encrypted in transit. This MCP Server only interacts with the room IDs and JSON payloads you explicitly authorize.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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