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liveblocks

Liveblocks

MCP Server

Build real‑time collaboration with ready‑made features

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About

Liveblocks offers customizable pre‑built components for AI and human collaboration—such as presence, comments, multiplayer editing, notifications, and AI copilots—to add real‑time interactivity to products quickly.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Liveblocks ready‑made features

Liveblocks is an MCP server that turns any web or mobile application into a collaborative, AI‑ready platform without the need to build core infrastructure from scratch. By exposing a set of high‑level resources—such as presence, multiplayer editing, comments, notifications, and AI copilot hooks—developers can inject real‑time collaboration and intelligent assistants into their products with a single SDK integration. This solves the common problem of fragmented, time‑consuming development for features that are critical to modern user experiences but would otherwise require complex backend logic, WebSocket management, and state synchronization.

The server’s value lies in its ready‑to‑use feature bundles. Each bundle is a self‑contained, customizable component that can be dropped into an application via the Liveblocks SDKs for React, Node, or any framework that supports WebSocket connections. For example, the AI copilot bundle provides an out‑of‑the‑box interface for embedding language model assistants directly into collaborative documents, while the multiplayer editing bundle handles conflict resolution and operational transforms behind the scenes. Developers can choose which bundles to activate, tailoring the experience to their product’s needs without altering the underlying architecture.

Key capabilities include:

  • Real‑time presence and cursor sharing that let users see who is online and where collaborators are editing.
  • Conflict‑free collaborative editing powered by CRDTs or operational transforms, ensuring seamless multi‑user document updates.
  • Comment threads and threaded discussions that integrate with presence data to provide contextual feedback loops.
  • Push notifications and email alerts for asynchronous engagement, all managed by the Liveblocks backend.
  • AI copilot hooks that expose model prompts and responses as first‑class resources, enabling developers to build AI assistants that understand the state of a collaborative session.

Typical use cases span collaborative document editors, real‑time design tools, multiplayer games with shared state, and customer support portals where agents can annotate user actions. In each scenario, the MCP server abstracts the networking layer and provides a clean API for AI assistants to read from and write to shared data, ensuring that model outputs stay consistent with the live user experience.

Integration into AI workflows is straightforward: an assistant can query the Liveblocks presence resource to determine who is active, read a shared document via the editing bundle, and post a suggestion directly into a comment thread. Because all interactions are exposed through MCP endpoints, Claude or other AI agents can invoke these resources just like any other API call, making it trivial to orchestrate complex collaborative scenarios without custom backend code. The Liveblocks MCP server thus delivers a plug‑and‑play foundation for building AI‑enhanced, real‑time applications at scale.