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Nutrient Dws MCP Server

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by PSPDFKit

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.

Set up this server

01 / Choose your client

02 / Before you connect

Authentication is not specified. Check the project instructions before connecting.

Install the runtime required by the project and make it available to your client.

Project instructions

Use names from the project instructions, separated by commas. Enter names only, never secret values.

03 / Add the configuration

Source: generated from public install instructions

claude mcp add --transport stdio 'nutrient-dws-mcp-server' -- 'npx' '-y' '@nutrient-sdk/dws-mcp-server'

Run in your terminal after replacing any placeholders.

04 / Check it in your client

Open your client’s MCP settings and confirm the server connects and lists its tools. A copied configuration does not confirm a working connection.

ai-agentsclaudedocument-aidocument-processinglangchainllmmcpmcp-servermodel-context-protocolnutrientopenaipdfpdf-processing

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13 of 13 tools

Documented tools (13)

From project documentation. A server handshake does not verify each tool’s description or behavior.

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.

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

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about Nutrient Dws MCP Server

How do I connect Nutrient Dws MCP Server to Claude?
Run `claude mcp add nutrient-dws-mcp-server -- npx -y @nutrient-sdk/dws-mcp-server` in Claude Code, or add the same command and arguments under mcpServers in Cursor's mcp.json or Claude Desktop's claude_desktop_config.json, then restart the client. The blocks above are ready to paste.
Is Nutrient Dws MCP Server free?
The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Nutrient Dws MCP Server do?
Nutrient Dws MCP Server documents 13 tools to the agent, including agentic, ai_redactor, check_credits. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.