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Add HTML to Markdown MCP server (#2837)
Adds html-to-markdown-mcp server that converts web pages to clean Markdown format. Features: - Fetches and converts HTML from URLs - Converts raw HTML to Markdown - Handles large pages with automatic file saving - Bypasses token limits with saveToFile parameter - Comprehensive test suite with 13 tests - Available on npm: html-to-markdown-mcp Co-authored-by: Lev Gelfenbuim <hi@lev.engineer>
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@@ -810,6 +810,7 @@ A growing set of community-developed and maintained servers demonstrates various
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- **[Holaspirit](https://github.com/syucream/holaspirit-mcp-server)** - Interact with [Holaspirit](https://www.holaspirit.com/).
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- **[Home Assistant](https://github.com/tevonsb/homeassistant-mcp)** - Interact with [Home Assistant](https://www.home-assistant.io/) including viewing and controlling lights, switches, sensors, and all other Home Assistant entities.
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- **[Home Assistant](https://github.com/voska/hass-mcp)** - Docker-ready MCP server for Home Assistant with entity management, domain summaries, automation support, and guided conversations. Includes pre-built container images for easy installation.
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- **[HTML to Markdown](https://github.com/levz0r/html-to-markdown-mcp)** - Fetch web pages and convert HTML to clean, formatted Markdown. Handles large pages with automatic file saving to bypass token limits.
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- **[HubSpot](https://github.com/buryhuang/mcp-hubspot)** - HubSpot CRM integration for managing contacts and companies. Create and retrieve CRM data directly through Claude chat.
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- **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)** - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
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- **[Human-In-the-Loop](https://github.com/GongRzhe/Human-In-the-Loop-MCP-Server)** - A powerful MCP Server that enables AI assistants like Claude to interact with humans through intuitive GUI dialogs. This server bridges the gap between automated AI processes and human decision-making by providing real-time user input tools, choices, confirmations, and feedback mechanisms.
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