The Useful MCPs repository provides two specialized MCP servers for document processing and YouTube content extraction. The docx_replace_mcp server enables template-based document generation with tools for replacing placeholders, managing conditional blocks, and converting DOCX files to PDF. The ytdlp_mcp server leverages yt-dlp to extract chapters and subtitles from YouTube videos, with advanced filtering capabilities for specific time ranges. Both implementations are designed for seamless integration with AI assistants, making them valuable for workflows requiring document automation or YouTube content analysis without manual intervention.
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Highlight AIGet chapter information from a YouTube video. Parameters: url (string)
Get subtitles from a YouTube video for specific chapters or the entire video. Parameters: url (string), language (optional string), chapters (optional array of objects)
Replace placeholders in Word templates and manage content blocks. Parameters: template_file (string), replacements (object), blocks (object), output_filename (string)
Extract all replacement keys from a Word document template. Parameters: template_file (string)
Convert a Word document (docx) to PDF format. Parameters: docx_file (string), pdf_output (string)
Convert PlantUML text to diagram images (e.g., PNG). Parameters: input (string), output_path (string)
Convert Mermaid code into a PNG image by creating a document on mermaidchart.com. Parameters: mermaid_code (string), output_path (string), theme (optional string)
Fetches an RSS feed, filters articles by date, and returns matching articles formatted as a Markdown list. Parameters: url (string), date_filter (optional string)