Liveblocks (Collaborative) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 19 tools to Authorize User, Broadcast Event, Create Room, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Liveblocks (Collaborative) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Liveblocks (Collaborative) MCP Server for Vercel AI 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
Geminiimport { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Liveblocks (Collaborative), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Liveblocks (Collaborative) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 19 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK
When Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to wire Liveblocks (Collaborative) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Liveblocks (Collaborative) MCP Server
Vercel AI SDK provides unique advantages when paired with Liveblocks (Collaborative) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Liveblocks (Collaborative) integration everywhere
Built-in streaming UI primitives let you display Liveblocks (Collaborative) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Liveblocks (Collaborative) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Liveblocks (Collaborative) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Liveblocks (Collaborative) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Liveblocks (Collaborative) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Liveblocks (Collaborative) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Liveblocks (Collaborative) through natural language queries
Example Prompts for Liveblocks (Collaborative) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Liveblocks (Collaborative) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLiveblocks (Collaborative) + Vercel AI SDK FAQ
Common questions about integrating Liveblocks (Collaborative) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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