nutrient-dws-mcp-server: No longer supported. Use the hosted Nutrient MCP at (nothing to install)

by PSPDFKit · MCP Server · ★ 71

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 76/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsclaudedocument-aidocument-processinglangchainllmmcpmcp-servermodel-context-protocolnutrient

Quick Facts

Stars71
Forks6
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score76/100
Open Issues2
Last Updated2026-10-14
Created2025-05-14
Platformsclaude-code, mcp, node
Est. Tokens~18k

About nutrient-dws-mcp-server

Nutrient DWS MCP Server Give AI agents the power to process, sign, and transform documents. Description A Model Context Protocol (MCP) server that connects AI assistants to the Nutrient Document Web Service (DWS) Processor API — enabling document creation, editing, conversion, digital signing, OCR, redaction, and more through natural language.

Compatible Skills

These tools work well together with nutrient-dws-mcp-server for enhanced workflows:

  • claude-code-job-tailor — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • InferrLM — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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