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Step-by-step scenarios for generating documents from templates 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 generate documents from templates with AI agents using MCP — start here: ask the template what it needs, fill the skeleton, render — and the template syntax that matters.
• How to generate one document per record (mail merge) with an AI agent — a letter per customer, a certificate per attendee: files named by a field, failed records listed.
• How to build a report with tables and charts from a CSV or spreadsheet with an AI agent — a spreadsheet or CSV in, a Word, PDF or PowerPoint report out — tables, totals and charts from the template.
• How to find out what a template needs and why it failed — the JSON skeleton, the {{name}} trap, unclosed blocks, missing fields, inline errors and binary templates.
• How to turn notes or an email into a finished document with an AI agent — the agent extracts the facts, the template makes the document — and a missing field stops the run.
• How to generate a PDF or Word report from JSON data in a repository with Claude Code — release notes and certificates from data/*.json and versioned templates — with Claude Code or any coding agent.
• Running GroupDocs MCP servers on-premise: architecture and security model — architecture and security model — what stays local, and what a template can reach.

New to the server? Quick start first.