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The MCP server exposes the full GroupDocs.Parser engine: every format the .NET library can read — 50+ document, spreadsheet, presentation, email, e-book, and image formats — is available to your AI agent. The canonical matrix lives in the library documentation: supported document formats.

What each family gives you:

• PDF — text, tables, images, metadata, and barcodes. The format most extraction requests arrive as.
• DOCX / XLSX / PPTX — the cleanest extractions, because structure is explicit in the source. Spreadsheet tables come out as tables.
• Email (MSG, EML) — message text and properties, which is how a lot of business context is stored.
• E-books (EPUB) and HTML — long-form text with structure.
• Images (JPG, PNG, TIFF) — metadata (EXIF, XMP, IPTC) and barcode detection; no text extraction, because there is no text layer.

The one rule worth internalising: extract_text reads a text layer. Born-digital documents have one; scans do not. On a scan, text extraction returns little or nothing while extract_barcodes still works — the engine’s models detect codes in the rasterized image. There is no OCR step in this server, so printed words in a scan stay pixels.