A Model Context Protocol server for converting almost anything to Markdown
https://github.com/zcaceres/markdownify-mcpStop juggling conversion tools. Markdownify-MCP handles PDFs, images, audio, Office docs, web pages, and YouTube videos through a single MCP server that integrates directly into your AI workflow.
You're already converting content to Markdown constantly—for documentation, AI context, note-taking, or knowledge bases. But you're probably using a different tool for each format: online PDF converters, OCR apps, manual YouTube transcript extraction, copy-pasting from web pages.
Markdownify-MCP consolidates all of this into one MCP server with 10 conversion tools that work seamlessly with Claude, ChatGPT, or any MCP-compatible client.
Document Conversion
Web Content
Audio Processing
Research Workflows: Ask Claude to "get me the Bing search results for 'React Server Components best practices' and convert to Markdown" → instant research compilation ready for your docs.
Meeting Documentation: Drop an audio recording into the tool → get a formatted Markdown transcript with speakers and timestamps that you can immediately commit to your project wiki.
Content Migration: Converting legacy Word docs and PDFs for your new documentation site becomes a single MCP call instead of manual copy-paste and reformatting sessions.
YouTube Learning: "Convert this 45-minute conference talk to Markdown" → searchable, shareable notes you can reference and quote from.
git clone https://github.com/zcaceres/markdownify-mcp.git
cd markdownify-mcp
pnpm install && pnpm run build
Add to your MCP client configuration:
{
"mcpServers": {
"markdownify": {
"command": "node",
"args": ["./dist/index.js"]
}
}
}
That's it. You now have 10 conversion tools available in any MCP-compatible AI client.
Instead of context-switching between your AI chat and browser tabs full of conversion tools, everything happens in one place. Ask Claude to "convert this PDF to Markdown and then help me extract the key technical requirements" - the conversion and analysis happen in a single conversation.
With 1,800+ GitHub stars, this isn't experimental software. It's a mature tool that developers are already using to streamline their content workflows.
The next time you need to convert something to Markdown, you'll do it without leaving your AI chat. That's the kind of workflow improvement that adds up to hours saved per week.