Use cases
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Step-by-step scenarios for redacting 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 redact sensitive data from documents with AI agents — start here: patterns, match counts, and the four places data hides.
- How to prepare documents for disclosure with an AI agent — the four-tool pass in order, with the chaining rule that keeps every step.
- How to redact scanned documents and images with an AI agent — no text layer, no pattern matching — coordinates and a solid box.
- How to verify that a redaction is complete — re-read, re-search, re-check — a redaction you have not verified is a claim.
- Running GroupDocs MCP servers on-premise: architecture and security model — architecture and security model — and what still reaches your model provider.
New to the server? Quick start first.
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