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How to Use the Liveblocks (Collaborative) MCP in Mastra AI

Build complex collaborative workflows in Mastra AI using deterministic tool execution and automated room management.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Liveblocks (Collaborative) MCP to Mastra AI

Create your Vinkius account to connect Liveblocks (Collaborative) to Mastra AI 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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Automated room lifecycle in Mastra AI

Your agent manages room creation and cleanup using `create_room` and `delete_room`. You define the logic for when a workspace should exist based on your specific project triggers. It handles the setup phase so you don't have to. The agent verifies the room exists via `get_room` before any data is broadcast, ensuring every step happens in order.

Conditional state updates

The `update_ydoc` tool lets your agent perform binary updates for high-frequency collaborative editing. You can set conditional logic in your workflow to trigger these updates only when specific criteria are met. It ensures consistency across your team. By using `list_versions`, your agent can even revert or check the history if a conflict occurs during an automated edit.

Event broadcasting for agents

Use `broadcast_event` to send custom JSON payloads to other connected clients. Your Mastra AI agent can notify other users of status changes or system events in real-time. This keeps everyone in the loop. The event system works independently of the storage tree, so you can signal updates without modifying the document state.

Setup guide

Set up Liveblocks (Collaborative) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Liveblocks (Collaborative) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "liveblocks-collaborative-mcp-client",
  servers: {
    "liveblocks-collaborative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Liveblocks (Collaborative) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Liveblocks (Collaborative) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Liveblocks (Collaborative) transactions"
);
console.log(result.text);

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.

Why Choose Vinkius

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Liveblocks (Collaborative) MCP in Mastra AI

You map the MCP tools into your agent definition. Mastra AI then treats `patch_storage` and `update_room` as native actions in your workflow.
Yes. The `update_room` tool allows your agent to modify permissions dynamically. You can lock or unlock access based on your workflow state.
Mastra AI handles tool retries automatically. If a network blip hits `broadcast_event`, the framework attempts the call again based on your defined policy.
Call `identify_user` during your workflow start. It returns an ID token you use to authenticate subsequent requests for that specific user.
Data is scoped to the rooms you create. This server handles raw JSON and Yjs binary blobs, ensuring only authenticated agents can read or write to your private rooms.

Start using the Liveblocks (Collaborative) MCP today

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Built & Managed by Vinkius 30s setup 19 tools

We've already built the connector for Liveblocks (Collaborative). Just plug in your AI agents and start using Vinkius.

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