About
A lightweight server that lets AI agents create, update, and delete HTML pages via the Model Context Protocol. Connected browsers receive instant updates through WebSocket hot reload, with automatic page lifecycle management.
Capabilities
The MCP HTML Sync Server solves a common pain point for developers building AI‑augmented web experiences: the need to keep multiple browsers in perfect sync while an autonomous agent writes, edits, or deletes content on the fly. Traditional web servers treat each request as a stateless transaction, which forces developers to implement custom polling or long‑polling logic for real‑time updates. This server abstracts that complexity behind the Model Context Protocol, allowing an AI agent to issue high‑level “create page” or “update content” commands and having every connected client instantly receive the changes without any manual refresh.
At its core, the server exposes a lightweight set of MCP tools that manage the lifecycle of an HTML page. An agent can create a new page, inject JavaScript or CSS from CDNs or inline snippets, and set expiration policies. The server stores these pages in an internal page manager that automatically purges old or expired content, ensuring memory usage stays bounded. When a page is updated, the server pushes the new markup through WebSocket connections to every browser that has subscribed. This hot‑reload mechanism eliminates the need for manual “refresh” actions, making iterative development with AI assistants feel as natural as editing a local file.
Key capabilities include:
- Real‑time HTML syncing: Any modification is broadcast instantly to all clients.
- Hot reload via WebSocket: Browsers refresh automatically, providing a fluid user experience.
- Script and stylesheet injection: Agents can add external resources by URL or inline code, enabling dynamic functionality without redeploying the server.
- Configurable lifecycle: Page expiration () and maximum count () keep the system lean.
- MCP‑native API: The server is designed to be called directly from an AI agent using the Model Context Protocol, so no custom adapters are required.
In practice this tool shines in scenarios such as live‑coding assistants, collaborative design prototypes, or AI‑driven content generation dashboards. A developer can spin up the server in a Docker container, let an AI agent build a landing page on demand, and watch it appear instantly in every developer’s browser. Because the server is intentionally lightweight—no heavy frameworks, minimal dependencies—it can run alongside other services in a micro‑service architecture without adding significant overhead.
Overall, the MCP HTML Sync Server provides a plug‑and‑play bridge between AI agents and web clients. It removes the boilerplate of real‑time synchronization, lets developers focus on higher‑level logic, and offers a clean, MCP‑oriented interface that integrates seamlessly into any AI workflow.
Related Servers
MarkItDown MCP Server
Convert documents to Markdown for LLMs quickly and accurately
Context7 MCP
Real‑time, version‑specific code docs for LLMs
Playwright MCP
Browser automation via structured accessibility trees
BlenderMCP
Claude AI meets Blender for instant 3D creation
Pydantic AI
Build GenAI agents with Pydantic validation and observability
Chrome DevTools MCP
AI-powered Chrome automation and debugging
Weekly Views
Server Health
Information
Tags
Explore More Servers
Manim MCP Server
Render Manim animations via a lightweight MCP endpoint
GopherMCP
Go doc access for LLMs in real time
Langfuse MCP Server
Debug AI agents with Langfuse trace data via MCP
Parallels RAS MCP Server
REST API for Parallels Remote Application Server sessions and publishing
MCP Server Nmap
Fast, automated network port scanning for debugging
Mcp Vscode Tutorial
Dual Go and Node MCP servers for VS Code AI workflows