Content
MarkItDown-MCP provides a seamless way to convert diverse content types into clean, LLM-friendly Markdown format. By supporting multiple URI schemes including HTTP, local files, and data URIs, it acts as a universal bridge between raw data sources and structured text processing.
### Typical Scenarios
- **Web Content Extraction**: Converting complex web pages into clean Markdown for summarization or data mining.
- **Local Document Processing**: Reading local files (like text or office documents) and converting them for context-aware AI conversations.
- **Data URI Parsing**: Directly converting base64 encoded data or inline text snippets into formatted Markdown.
### Tool Use Cases
- `convert_to_markdown`: Convert a remote article by passing `https://example.com/article`, or a local document via `file:///workdir/document.pdf` to get a Markdown representation.