nutrient-dws-mcp-server — security grade SAFE, quality 76/100

Security audit verdict: SAFE · quality 76/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by PSPDFKit · MCP Server · ★ 69

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

🔒 Is nutrient-dws-mcp-server safe to install? View the security audit →

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. Features Local stdio MCP server for Claude Desktop and other MCP-compatible clients Browser-based OAuth on the first request that uses the Nutrient API, with optional API-key fallback for CI and headless environments Document conversion, OCR, extraction, redaction, watermarking, annotation flattening, and digital signing Sandbox-aware local file handling with explicit output paths Read-only account lookup for DWS credits and usage What You Can Do Once configured, you (or your AI agent) can process documents through natural language: You: "Merge report-q1.pdf and report-q2.pdf into

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

Quick Facts

Stars69
Forks5
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score75.8042521984187/100
Open Issues2
Last Updated2026-08-28
Created2025-05-14
Platformsbrowser, claude-code, mcp, node
Est. Tokens~18k

Compatible Skills

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

  • pdf-reader-mcp — semantic(0.55)+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • 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%)

nutrient-dws-mcp-server alternative? Top 6 similar tools

Looking for a nutrient-dws-mcp-server alternative? If you're comparing nutrient-dws-mcp-server with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • pdf-mcp by jztan · ⭐ 136

    MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: a

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  • pdfmux by NameetP · ⭐ 82

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  • google-analytics-mcp by surendranb · ⭐ 242

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  • mcp-linker by milisp · ⭐ 323

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Frequently Asked Questions

What is nutrient-dws-mcp-server?

nutrient-dws-mcp-server is 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.. It is categorized as a MCP Server with 69 GitHub stars.

What programming language is nutrient-dws-mcp-server written in?

nutrient-dws-mcp-server is primarily written in TypeScript. It covers topics such as ai-agents, claude, document-ai.

How do I install or use nutrient-dws-mcp-server?

You can find installation instructions and usage details in the nutrient-dws-mcp-server GitHub repository at github.com/PSPDFKit/nutrient-dws-mcp-server. The project has 69 stars and 5 forks, indicating an active community.

What license does nutrient-dws-mcp-server use?

nutrient-dws-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to nutrient-dws-mcp-server?

The top alternatives to nutrient-dws-mcp-server on Agent Skills Hub include pdf-mcp, oreilly-ai-agents, c4-genai-suite. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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