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.

Search for documentation on the web or github as well from private resources like repos and pdfs. Use Ref 'ref_read_url' to read the content of a url.

Combine multiple PDFs into one with drag-to-reorder.

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.

Add handwritten or text signatures directly to PDFs. (Browser-based tool)

Get a comprehensive step-by-step guide for preparing all inputs required for a specific circuit. Read this BEFORE attempting proof generation — the guide covers how to compute signal_hash, nullifier, scope_bytes, merkle_root, how to query EAS GraphQL for the attestation, how to RLP-encode the transaction, how to recover secp256k1 public keys, and how to build the Merkle proof.