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Markdownify MCP Server

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.

  1. Build the project:
   pnpm run build
  1. 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:

{
  "mcpServers": {
    "markdownify": {
      "command": "node",
      "args": [
        "{ABSOLUTE PATH TO FILE HERE}/dist/index.js"
      ],
      "env": {
        // By default, the server will use the default install location of `uv`
        "UV_PATH": "/path/to/uv"
      }
    }
  }
}

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

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.

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