Liveblocks MCP Server

The Liveblocks MCP server equips AI assistants with direct, authenticated access to the full breadth of the Liveblocks REST API. By exposing endpoints for rooms, threads, comments, notifications, and storage, the server lets AI tools create, update, or delete collaborative resources on demand. This capability is especially valuable for developers who need to automate real‑time collaboration workflows or embed live interaction features into applications without writing repetitive API code.

For developers working with AI assistants, the server removes the friction of manual authentication and endpoint management. Once configured with a Liveblocks secret key, an AI can invoke high‑level actions—such as spawning a new chat room or pushing a notification—to any user or session. The server’s read access to Storage and Yjs further enables AI agents to retrieve or modify shared state, making it possible to build sophisticated collaborative editors, live dashboards, or multi‑user gaming experiences.

Key features of the Liveblocks MCP server include:

• Comprehensive REST API coverage: All primary CRUD operations for rooms, threads, comments, and notifications are available as callable functions.
• Real‑time data handling: Read access to Liveblocks Storage and Yjs allows AI agents to fetch or patch shared documents in near‑instantaneous sync.
• Secure, key‑based authentication: The server uses the Liveblocks secret key to authenticate every request, ensuring that only authorized actions are performed.
• Flexible integration: The server is designed to work seamlessly with any MCP‑compatible client, from Cursor and Claude Desktop to VS Code extensions.

Typical use cases include:

• Automated collaboration setups: An AI assistant can provision new rooms or threads for a team meeting on the fly, eliminating manual configuration.
• Dynamic content generation: AI can post comments or notifications based on user activity, providing real‑time feedback or updates.
• Stateful AI editors: By reading and writing Yjs documents, an assistant can help users co‑edit code, designs, or data visualizations collaboratively.
• Workflow automation: Combine Liveblocks actions with other MCP tools to orchestrate end‑to‑end processes, such as triggering notifications after a data pipeline completes.

Because the server maps high‑level AI calls directly to Liveblocks’ robust real‑time infrastructure, developers gain a powerful bridge between conversational agents and live collaboration services. This integration streamlines the creation of interactive, AI‑powered applications that require instant, synchronized data across multiple users.