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Step-by-step scenarios for annotating and reviewing documents with AI agents over MCP — each page answers one real question completely, with the config, the exact prompt, and the expected result:
- How to annotate documents with AI agents using MCP — start here: the annotate → verify → iterate loop, and which file the agent writes to.
- How to run a document review cycle with an AI agent — threads, authors, and resolving comments — a full review round driven from chat.
- How to extract and report on document annotations with AI — turn a marked-up document into a summary, a table, or an XML archive.
- How to let an AI agent see the document page it annotated — inline PNG rendering — the agent checks its own work instead of asserting it.
- Running GroupDocs MCP servers on-premise: architecture and security model — architecture and security model for regulated environments — the page to send your security reviewer.
New to the server? Quick start first.
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