Nutrient DWS MCP Server

Detect and permanently redact sensitive content using the Nutrient AI Redaction API. Reads input files from the local file system or sandbox (if enabled) and writes redacted output back locally. Automatically detects and permanently removes sensitive information from documents using AI analysis. Detected content types include: • Personally identifiable information (names, addresses, phone numbers) • Financial data (credit card numbers, bank accounts, SSNs) • Email addresses and URLs • Protected health information (PHI) • Any custom criteria you specify By default (when neither stage nor apply is set), redactions are detected and immediately applied. Set stage to true to detect and stage redactions without applying them. Set apply to true to apply previously staged redactions.

Check your Nutrient DWS API credit balance and usage for the current billing period. This is a read-only account lookup. It does not upload any document content. Returns: subscription type, total credits, used credits, and remaining credits.

Browse local files when sandbox mode is disabled. This is a read-only local filesystem operation, but it can inspect any path visible to the current user. Sandbox mode is strongly recommended.

Process, convert, and transform documents using the Nutrient API. Reads input files from the local file system or sandbox (if enabled) and writes results back locally. Features: • Import XFDF annotations • Flatten annotations • OCR processing • Page rotation • Watermarking (text/image) • Redaction creation and application Output formats: PDF, PDF/A, images (PNG, JPEG, WebP), Office (DOCX, XLSX, PPTX) For structured data extraction (typed JSON or Markdown with bounding boxes and confidence scores), use the dedicated parse_document tool instead.

Digitally sign PDF files using the Nutrient Sign API. Reads input files from the local file system or sandbox (if enabled) and writes signed output back locally. Signature types: • CMS/PKCS#7 (standard digital signatures) • CAdES (advanced electronic signatures) Appearance options: • Visible or invisible signatures • Multiple display modes (signature only, description only, or both) • Customizable elements (signer name, reason, location, date) • Support for watermarks and custom graphics Positioning: • Place on specific page coordinates • Use existing signature form fields

Pull specific named fields out of a document into a JSON shape you define, using the Nutrient DWS Data Extraction API. Reads the input file from the local file system or sandbox (if enabled), or fetches it directly from a URL — provide exactly one of filePath or url. Unlike parse_document, which parses a whole document into elements or Markdown, extract_fields takes a JSON schema (root type: "object", with properties) and returns only the values matching it — e.g. { invoiceNumber, total, lineItems: [...] } — each with a per-field citation (bounding box, confidence, and match quality) tying it back to where it was found. Processing modes (cost per page, parse component only — no text mode here): structure = OCR spatial parse (1.5 credits); understand = AI-augmented, default (9 credits); agentic = VLM-augmented (18 credits). Total cost per page is this parse component plus a fixed extract component, billed in Data Extraction credits — a separate balance from the Processor API credits reported by check_credits. output.data (the extracted values) is always returned inline. Per-field citations and page geometry are large and are only kept when outputPath is provided; otherwise a note says they were omitted.

Extract structured data from a document using the Nutrient DWS Data Extraction API. Reads the input file from the local file system or sandbox (if enabled), or fetches it directly from a URL — provide exactly one of filePath or url. Output formats: • spatial — typed elements (paragraphs, tables, key-value pairs, formulas, pictures, handwriting) with bounding boxes, confidence scores, and reading order. Written to outputPath (the list can be large). • markdown — whole-document Markdown. Returned inline, or written to outputPath when provided (recommended for large documents). Good for RAG and search indexing. • Both at once via formats: ["spatial", "markdown"] — a second format costs no extra credits, so ask for both up front instead of extracting twice. Processing modes (cost per page): text = fast Markdown, no OCR (1 credit); structure = OCR spatial (1.5 credits); understand = AI-augmented, default (9 credits); agentic = VLM-augmented (18 credits). Note: markdown output and any extracted content are returned into this conversation and may be logged by the host. For sensitive documents, prefer spatial output to a file plus targeted extract_fields calls.