Nutrient Dws MCP Server
未申請A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.
インストール
npx @nutrient-sdk/dws-mcp-server未申請リスティング
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このサーバーを申請するツール（17個）
agentic
Spatial or Markdown
ai_redactor
AI redaction for detecting and permanently removing sensitive content such as names, addresses, SSNs, emails, and custom criteria
check_credits
Read-only account lookup for current DWS credits and usage. No document content is uploaded
directory_tree
Read-only view of local files when sandbox mode is disabled. Sandbox mode is strongly recommended
document_processor
Document processing for conversions, OCR, watermarking, rotation, annotation flattening, and redaction workflows
document_signer
PDF signing with CMS / PKCS#7 and CAdES signatures plus visible or invisible appearance options
extract_fields
Schema-guided field extraction (DWS Data Extraction API): pulls specific named fields into a JSON shape you define, with per-field citations
includeCitations
(server default true), strict (default false), and multimodal (default false, increases cost/latency) are only sent when you set them explicitly.
instructions
(free text, up to 10000 characters) adds guidance for ambiguous fields. language/maxLanguages/maxScripts tune OCR the same way as parsedocument.
language
OCR language(s) for structure/understand/agentic modes; left unset, the API auto-detects. maxLanguages / maxScripts cap how many languages/scripts auto-detection considers, and only apply when language is left unset.
mode
runs the parse feeding the extraction: structure (1.5 credits/page), understand (default, 9 credits/page), or agentic (18 credits/page) — no text mode, since schema-guided extraction needs the structural parse text mode skips. Total cost per page is that parse component plus a fixed extract componen
OAuth
(no NUTRIENTDWSAPIKEY set): the same browser-flow token used by every other tool also covers Data Extraction. No extra configuration is needed.
output.data
is always returned inline, pretty-printed — it is the answer, bounded by your own schema. Alongside it, a citation match summary reports how each field was grounded (idmatch, idmatchmultiblock, idmatchpartial, fuzzymatch, notfound) and lists which field paths came back notfound (capped at 10, then "
parse_document
Structured data extraction (DWS Data Extraction API): typed JSON elements with bounding boxes and confidence, or whole-document Markdown
sandbox_file_tree
Read-only view of files inside the configured sandbox directory
structure
Spatial or Markdown
text
Markdown only