GroupDocs Blog

Split and merge PDF with an AI agent: three ways to rebuild a document from selected pages

3 ways to rebuild a document from just the pages you need via MCP

The split tool extracts pages as separate single-page files, so a rebuilt document needs a second step. Three patterns cover extraction, a rebuilt page set and removing a page.

Redact sensitive data with an AI agent: three ways to use the GroupDocs.Redaction.Mcp server

3 ways to redact sensitive data with AI agents and MCP

Asking a chat model to rewrite a document does not remove the original text, and the file still carries comments and author fields. One prompt can drive a redaction engine that replaces the text in the file, on your machine.

Sign documents with an AI agent: text stamp, QR code and certificate-based digital signature

3 Ways to Sign Documents with AI Agents and MCP: Text, QR Code, Certificate

Asking an AI agent to sign a document can mean three different things, and only one of them is cryptographic. GroupDocs.Signature.Mcp lets the agent apply all three through a single sign tool, locally.

PDF to Markdown MCP server turning PDFs into LLM-ready Markdown locally for a RAG knowledge base

3 ways to turn PDFs into LLM-ready Markdown (and why local wins)

Every RAG pipeline starts with PDF to Markdown, and the three common routes differ in what they send out and what they keep. One prompt to a local MCP server keeps headings and tables and sends nothing anywhere.

Batch convert files with Claude: one prompt converts a whole folder of documents locally through an MCP server

A whole folder, one prompt: batch conversion with Claude and MCP

Converting a folder file by file is tedious, and a script is one more thing to maintain. With a local MCP server, the prompt becomes the orchestration and the engine does the conversion.

Annotate documents with an AI agent: review comments placed inside a document page instead of a chat window

AI review that lands in the document, not in the chat log

Feedback an AI assistant gives in a chat window is gone when the window closes. With an annotation server the same feedback becomes highlights and comments inside the document, readable by anyone who opens the file.

Migrate documentation to Markdown: an AI agent converts a folder of Word, CHM and EPUB files for docs as code

Automate a docs-as-code migration: the agent runs the conversion, you review

A decade of Word manuals, CHM help files and EPUB books is hard to move into git by hand. This runbook makes the AI agent the operator and keeps the review with you.

Markdown to PDF MCP workflow: an AI agent writes Markdown and exports PDF and DOCX locally

Automate report delivery: let the agent write Markdown and ship Word

Agents write Markdown, but stakeholders read PDF and Word. A two-step prompt closes the gap with a real layout engine and no browser or LaTeX toolchain.

Document page images for reports and tickets generated by an AI agent through an MCP server

Automate screenshot-grade page images for reports with MCP

Cropping page screenshots by hand for every bug report and review note is slow and inconsistent. One prompt names the pages and the agent saves them as predictably named PNG files.

Summarize document changes with AI: analyze_changes in GroupDocs.Comparison.Mcp

Change summaries for release notes, audits and approvals — automated with MCP

Most questions about two document versions need an answer, not a redline. The analyze_changes tool of GroupDocs.Comparison.Mcp returns the differences as data, and the agent turns them into the summary you need.