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Step-by-step scenarios for searching documents with AI agents over MCP — each page answers one real question completely, with the setup, the calls the agent makes, the results it gets back (captured from the server), and the exact prompt:

• How to search documents with AI agents using MCP — start here: the index → search → quote pattern, which tool for which question, and the query language.
• How to ask questions across a folder of contracts with an AI agent — which contracts say X, the clause that says it, and the unquoted-phrase trap.
• How to get the matching passages instead of reading whole files — grounded answers on a small context: fragments, the termsBefore/termsAfter dial, and variants.
• How to keep a document index current as files change — one index per project, refreshed with one call — and what removal can and cannot do.
• How to let Claude Code or Cursor search the PDFs and Word documents in a repository — datasheets, specs and ADRs in PDF and DOCX — the files grep cannot read.
• How to search email archives and attachments with an AI agent, locally — PST, OST, MSG and EML — including the text of attached documents.
• How to find documents by date range, amount and file name with an AI agent — content: daterange(…), number ranges, file-name words — and the file-date trap.
• Running GroupDocs MCP servers on-premise: architecture and security model — architecture and security model — what the index stores, and what travels to the model.

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