Useful MCP Servers

Example Use Cases

• 1

  Extract chapters or subtitles from YouTube videos to summarize or reference specific segments.

• 2

  Generate, fill, or convert Word document templates (docx) to produce reports or PDFs programmatically.

• 3

  Render PlantUML or Mermaid diagrams into images for inclusion in generated documents or conversational responses.

Description

This repository bundles multiple small MCP servers implemented in Python that expose specialized tooling over the Model Context Protocol (stdio JSON messages). Included servers provide features such as YouTube chapter/subtitle extraction, Word (.docx) template processing and PDF conversion, PlantUML and Mermaid rendering, and RSS-to-Markdown conversion. Each MCP is designed to run independently (recommended via uv run --directory) with per-MCP dependency management and example usage shown in the README. The project is intended to let AI agents call these utilities as external tools to extend their capabilities.