Markdownify MCP Server

Help! I need someone with a Windows computer to help me add support for Markdownify-MCP on Windows. PRs exist but I cannot test them. Post here if interested.

Markdownify is a Model Context Protocol (MCP) server that converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text.

Features

• Convert multiple file types to Markdown:

  • PDF

  • Images

  • Audio (with transcription)

  • DOCX

  • XLSX

  • PPTX

• Convert web content to Markdown:

  • YouTube video transcripts

  • Bing search results

  • General web pages

• Retrieve existing Markdown files

Getting Started

1. Clone this repository

2. Install dependencies:

   pnpm install

Note: this will also install uv and related Python depdencies.

3. Build the project:

   pnpm run build

4. Start the server:

   pnpm start

Development

• Use pnpm run dev to start the TypeScript compiler in watch mode

• Modify src/server.ts to customize server behavior

• Add or modify tools in src/tools.ts

Usage with Desktop App

To integrate this server with a desktop app, add the following to your app's server configuration:

Available Tools

• youtube-to-markdown: Convert YouTube videos to Markdown

• pdf-to-markdown: Convert PDF files to Markdown

• bing-search-to-markdown: Convert Bing search results to Markdown

• webpage-to-markdown: Convert web pages to Markdown

• image-to-markdown: Convert images to Markdown with metadata

• audio-to-markdown: Convert audio files to Markdown with transcription

• docx-to-markdown: Convert DOCX files to Markdown

• xlsx-to-markdown: Convert XLSX files to Markdown

• pptx-to-markdown: Convert PPTX files to Markdown

• get-markdown-file: Retrieve an existing Markdown file. File extension must end with: *.md, *.markdown.

  OPTIONAL: set MD_SHARE_DIR env var to restrict the directory from which files can be retrieved, e.g. MD_SHARE_DIR=[SOME_PATH] pnpm run start

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.