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liveblocks/liveblocks-mcp-server

by Various

MCP server for Liveblocks.

L

MCP

liveblocks/liveblocks-mcp-server

Added 1 June 2026

#ai #ai-agents #ai-copilot #collaboration #commenting-system #comments #crdt #liveblocks

Overview

An MCP server that connects AI agents to Liveblocks, enabling them to interact with real-time collaboration data. It uses the Model Context Protocol to expose Liveblocks APIs for reading and writing storage, presence, and other primitives.

Best for

Best for
Developers adding AI copilot functionality to applications using Liveblocks for real-time collaboration

Use cases

  • Enable AI assistants to read and update Liveblocks storage in real-time apps
  • Allow AI agents to manage user presence and broadcast events
  • Build copilot features that automate Liveblocks room operations

Notes

An MCP server that connects AI agents to Liveblocks, enabling them to interact with real-time collaboration data. It uses the Model Context Protocol to expose Liveblocks APIs for reading and writing storage, presence, and other primitives.

16 stars on GitHub. Last updated 2026-05-11. Licensed Apache-2.0.

Use cases

  • Enable AI assistants to read and update Liveblocks storage in real-time apps
  • Allow AI agents to manage user presence and broadcast events
  • Build copilot features that automate Liveblocks room operations

Pros

  • Open source and written in TypeScript, easy to integrate with Node.js projects
  • Leverages the standard MCP protocol for interoperability with AI clients
  • Directly targets Liveblocks, reducing boilerplate for agentic workflows

Cons

  • Low star count suggests limited community adoption and testing
  • Sparse documentation beyond the basic description
  • Requires an MCP-compatible client, adding a dependency for AI integrations

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source and written in TypeScript, easy to integrate with Node.js projects
  • Leverages the standard MCP protocol for interoperability with AI clients
  • Directly targets Liveblocks, reducing boilerplate for agentic workflows

Cons

  • Low star count suggests limited community adoption and testing
  • Sparse documentation beyond the basic description
  • Requires an MCP-compatible client, adding a dependency for AI integrations