Pdf Export For Ai Agents

Created By
pdfcrowd4 months ago
PDF Export for AI Agents is an MCP server that produces well-designed, professional PDFs from a prompt - reports, architecture docs, API references, and more. It includes built-in layout guidance that helps AI agents structure documents with proper page breaks, clean typography, and polished visual hierarchy. Works with any MCP-compatible AI agent. Powered by PDFCrowd.
Overview

Homepage: PDF Export for AI Agents

Example prompt

Analyze this project and create a comprehensive architecture overview PDF. 
Include component diagrams and data flow. Save to architecture-overview.pdf

The result (PDF):

image

Features

Professional output quality: Well-designed documents with proper page layout, clean typography, correct page breaks, and polished visual hierarchy.

Built-in layout intelligence: Includes guidance that teaches the AI agent how to structure content for optimal pagination, spacing, and visual hierarchy. This is why the output looks well-designed.

Diagram support: Generates flowcharts, architecture diagrams, and other visuals directly in the PDF, properly sized and positioned for the page.

Automatic asset bundling: Local images and other resources are detected and bundled automatically.

Powered by PDFCrowd: Backed by a mature, production-grade conversion engine in use since 2010.

Privacy-first: Source code stays on your machine. Only the document content is sent to the PDFCrowd service for PDF conversion.

Usage model

Free demo with watermark, no signup needed. Sign up at PDFCrowd for a free trial (100 credits) or paid plans for ongoing use.

Server Config

{
  "mcpServers": {
    "pdfcrowd-export-pdf": {
      "command": "npx",
      "args": [
        "-y",
        "pdfcrowd-mcp-pdf-export"
      ]
    }
  }
}
Project Info
Created At
4 months ago
Updated At
4 months ago
Author Name
pdfcrowd
Star
-
Language
-
License
-
Category

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Shippo
@Shippo

21 hours ago