Extract figures, tables, and equations from PDF documents using layout detection. Perfect for extracting visual elements from academic papers on arXiv or any PDF URL. Returns base64-encoded images of detected elements with metadata.

Extract text from PDFs and images as clean Markdown. Uses Mistral OCR — handles complex layouts, tables, handwriting, multi-column documents, and mathematical notation. Preserves document hierarchy in structured Markdown. 10 sats/page. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='extract_document' and quantity=pageCount for multi-page PDFs.

Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

Fetch a URL and return content. - Images return as FastMCP Image. - PDFs return as File(format="pdf"). - Text/JSON return as a JSON payload with metadata and text.

Extract and fetch images from markdown content. Use this to view screenshots, diagrams, or other images embedded in Linear issues, comments, or documents. Pass the markdown content (e.g., issue description) and receive the images as viewable data.

Get full data for a superhero by their numeric ID, including powerstats, biography, appearance, and images.