How Platform Teams Use GroupDocs.Parser to Wire Document Tools into MCP Clients on .NET
Platform organizations exposing document tools to MCP clients face a Docker-only MCP server and need offline proof that Parser APIs match get_document_info, extract_text, and extract_tables. This guide shows the registration JSON, library mirrors, and measurable ops impact on .NET 8.
Stop Feeding Whole DOCX Files to Your Index: Chunk Markdown by Headings in .NET
Replace whole-file embeddings with heading-sized Markdown chunks. This before-and-after walkthrough covers GetDocumentInfo, GetFormattedText Markdown, GetText PDF fallback, and ATX heading split on .NET 8.
Prepare Documents for RAG in Java: Claim Files to Cited Markdown Chunks
Claims and policy teams store knowledge in emails, attachments, PDFs and ZIP uploads. This guide shows how GroupDocs.Parser for Java converts those files to LLM-ready Markdown, chunks them by headings and keeps attachment lineage, all on your own servers.
Stop Losing Email Attachments in Your Spring AI RAG Index: A GroupDocs.Parser DocumentReader for Java
A Spring AI DocumentReader built on GroupDocs.Parser for Java turns Word manuals, PDFs, email attachments and ZIP members into page-level Documents with lineage metadata, so a RAG answer can cite the attachment and page it came from.
3 ways to extract document data with AI agents and MCP (text, tables, images)
An LLM that reads a pasted PDF guesses at structure and cannot see scans. GroupDocs.Parser.Mcp gives the agent extraction tools, so one prompt returns the text, the table or the barcode value.
Enforce consistent data capture with automated extraction workflows using MCP
A folder of invoices produces inconsistent data when each file is handled ad hoc. Define the schema once in the prompt, let the agent apply it to every file through GroupDocs.Parser.Mcp, and get an exceptions list for the files that do not fit.
Scan-to-record automation with AI agents
A scanned delivery note has no text to extract, but its barcode still decodes. GroupDocs.Parser.Mcp lets an AI agent read the code and turn each scan into a lookup key and a record.
Tables out of PDFs, into JSON, without an LLM guessing the cells
Asking an LLM to read a table out of a pasted document puts the cells at the mercy of the model. GroupDocs.Parser.Mcp hands the agent rows from a document engine instead, as Markdown to review or JSON to compute.
How to Extract Annotations from PDF Documents Using GroupDocs.Parser in .NET
Learn how to extract annotations from PDF documents with GroupDocs.Parser for .NET. This guide covers whole-document extraction, page-level extraction, combined text-and-annotation extraction, and exporting results to CSV or JSON.
How to Extract Text from ZIP/RAR Archives Using GroupDocs.Parser in .NET
Learn how to pull plain text from every document inside ZIP or RAR archives with GroupDocs.Parser for .NET. This tutorial covers installation, flat‑archive extraction, recursive processing of nested archives, and tips for reliable results.
