Python MCP Markdownify Server
Converts YouTube video transcripts to Markdown format.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Python MCP Markdownify Serverconvert the file meeting_notes.pdf to markdown"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Python MCP Markdownify Server
This is a pure Python implementation of the Markdownify MCP server using FastAPI and the official Model Context Protocol (MCP) Python SDK. It provides the same functionality as the original Node.js version but with a Python-only stack.
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
Related MCP server: MarkItDown MCP
Installation
Install Python dependencies:
pip install -r requirements.txtInstall
uvand Python dependencies:curl -LsSf https://astral.sh/uv/install.sh | sh uv sync
Usage
Start the server:
python server.pyThe server will start on http://localhost:3000 by default.
To integrate this server with a desktop app, add the following to your app's server configuration:
{
"mcpServers": {
"markdownify-python": {
"command": "python",
"args": [
"{ABSOLUTE PATH TO FILE HERE}/python-mcp-server/server.py"
],
"env": {
"UV_PATH": "/path/to/uv"
}
}
}
}This server cannot be deployed
Maintenance
Related MCP Connectors
Convert files, URLs, and documents to clean, AI-ready Markdown via MCP.
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Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
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