AI agents are great at producing text. But the moment you need an actual document — an invoice, a report, a certificate — they fall apart. You get markdown you have to format yourself, or (with Code Interpreter) a rough PDF from a Python lib with generic fonts and tables that never quite look right. There's no clean way to hand an agent the job of "produce a polished PDF."
So I gave my agents one tool that does exactly that, over MCP (Model Context Protocol). The agent describes the document, and gets back a link to a finished, editable PDF. Here's how to wire it up in about 5 lines of config.
Disclosure: I work on PDFMakerAPI — but the pattern here (give an agent a single, well-scoped tool that returns a reviewable artifact) applies to any MCP server. The config below just happens to use mine.
30-second MCP refresher
MCP is the open standard for giving an AI agent tools. You point your client (Claude Desktop, Cursor, Windsurf, Cline, VS Code, ChatGPT…) at an MCP server, and the agent can now call whatever functions that server exposes. No glue code, no custom integration per client — that's the whole appeal.
