Markdownify

Converts various file types and web content, such as PDFs, images, audio, and web pages, into Markdown format.

Markdownify MCP Server

markdownify mcp logo

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.

Markdownify Server MCP server

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:

    bun install
    

    The preinstall step creates a Python virtual environment at .venv and installs markitdown[all].

  3. Build the project:

    bun run build
    
  4. Start the server:

    bun start
    

Development

  • Use bun 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"
      ]
    }
  }
}

Environment variables

All paths default to sensible values; override only when the defaults don't fit your install layout.

VariableDefaultPurpose
MARKITDOWN_PATH<project>/.venv/bin/markitdown, then markitdown on PATHAbsolute path to the markitdown executable. Set this when you've installed markitdown system-wide (e.g. pipx install "markitdown[pdf]") instead of using the bundled venv.
REPOMIX_PATH<project>/node_modules/.bin/repomix, then repomix on PATHAbsolute path to the repomix executable used by git-repo-to-markdown.
MD_ALLOWED_PATHSunset (unrestricted)Path-delimiter-separated list (: on POSIX, ; on Windows) of directories the server is allowed to read. When set, all file-input tools (pdf-to-markdown, get-markdown-file, etc.) reject paths outside these directories.
MD_SHARE_DIRunsetDeprecated alias for MD_ALLOWED_PATHS (single directory). Still honored for backward compatibility.

Usage with Docker

Build and run:

docker build -t markdownify-mcp .
docker run --rm -i \
  -v "$HOME/Documents:/data:ro" \
  -e MD_ALLOWED_PATHS=/data \
  markdownify-mcp

Notes for the Docker MCP catalog (mcp/markdownify):

  • Mount any host directories you want the server to read into the container, then pass the container paths to the tools (e.g. /data/foo.pdf, not /Users/you/Documents/foo.pdf).
  • Set MD_ALLOWED_PATHS to the colon-separated list of mounted directories so the server enforces a read boundary that matches the bind mount.
  • The published Docker image installs markitdown[pdf] only — audio transcription and image OCR (audio-to-markdown, image-to-markdown) require the [all] extras and will fail in the slim image. Use the local install (bun install) for the full feature set.

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_ALLOWED_PATHS to restrict every file-input tool to a list of directories, e.g. MD_ALLOWED_PATHS=/data/in:/data/out bun 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.

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