Markdownify MCP

by zcaceres

A Model Context Protocol server for converting almost anything to Markdown

Knowledge & AIstdio or Streamable HTTPCommunity

Repository-wide counts · Cached 2026-10-04

Overview

The Markdownify MCP MCP server is a publicly available community project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Markdownify MCP repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

View the complete category

Ida Pro MCP

mrexodia

Community

AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.

Fastapi MCP

tadata-org

Community

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

MCP Use

mcp-use

Community

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

MCP Go

mark3labs

Community

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

View original

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.

Variable Default Purpose
MARKITDOWN_PATH <project>/.venv/bin/markitdown, then markitdown on PATH Absolute 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 PATH Absolute path to the repomix executable used by git-repo-to-markdown.
MD_ALLOWED_PATHS unset (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_DIR unset Deprecated 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.