Utility tool for converting various files to Markdown
Utility tool for converting various files to Markdown
MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines. To this end, it is most comparable to textract, but with a focus on preserving important document structure and content as Markdown (including: headings, lists, tables, links, etc.) While the output is often reasonably presentable and human-friendly, it is meant to be consumed by text analysis tools -- and may not be the best option for high-fidelity document conversions for human consumption.
MarkItDown requires Python 3.10 or higher. It is recommended to use a virtual environment to avoid dependency conflicts. With the standard Python installation, you can create and activate a virtual environment using the following commands: If using uv, you can create a virtual environment with: ```bash uv venv --python=3.12 .venv source .venv/bin/activate
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"markitdown-1": {
"command": "uvx",
"args": ["markitdown-ocr"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
MarkItDown requires Python 3.10 or higher. It is recommended to use a virtual environment to avoid dependency conflicts. With the standard Python installation, you can create and activate a virtual environment using the following commands: If using uv, you can create a virtual environment with: ```bash uv venv --python=3.12 .venv source .venv/bin/activate
Generates both vector and raster images using EverArt's AI models, providing flexible storage and format conversion.
Provides file system operations, analysis, and manipulation through a standardized tool interface.
A simple, reliable Model Context Protocol (MCP) server that converts Markdown files into professional Word (.docx) and PDF documents — with full support for .dotx templates.
Access your reMarkable tablet - read documents, browse files, extract text and OCR handwritten notes
A Model Context Protocol (MCP) server implementation that integrates with Olostep for web scraping, content extraction, and search capabilities. To set up Olostep MCP Server, you need to have an API…
Stop rogue AI-agent tool calls before they run: deterministic policy gate + audit digest.