Markdownify

# 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. <a href="https://glama.ai/mcp/servers/bn5q4b0ett"><img width="380" height="200" src="https://glama.ai/mcp/servers/bn5q4b0ett/badge" alt="Markdownify Server MCP server" /></a> ## 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: ```js { "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: ```sh 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](LICENSE) file for details.