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 · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nutrient-document-engine-mcp-server safe to install? View the security audit →
Nutrient Document Engine MCP Server Connect AI agents to document processing. This MCP server exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling. Example Conversations Once configured, you (or your agent) can interact with documents through natural language: You: "What documents do I have available?" AI: "I can see you have 3 documents: annual-report.pdf, contract-draft.pdf, and tax-form-2023.pdf. Would you like me to analyze any of these?" You: "Extract all the names and phone numbers from these invoices" AI: "I found 12 contacts: John Smith (555-0123), Sarah Johnson (555-0456)..." You: "Redact all social security numbers from these tax forms" AI: "I've identified and redacted 3 SSNs across 2 documents. The redacted versions are ready." You: "Split this 50-page contract into separate sections" AI: "I've split the contract into 5 sections: Terms (pages 1-8), Payment (pages 9-15)..." Setup with Claude Desktop  server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling.. It is categorized as a MCP Server with 61 GitHub stars.
nutrient-document-engine-mcp-server is primarily written in TypeScript. It covers topics such as agentic-ai, document-processing, document-processor.
You can find installation instructions and usage details in the nutrient-document-engine-mcp-server GitHub repository at github.com/PSPDFKit/nutrient-document-engine-mcp-server. The project has 61 stars and 4 forks, indicating an active community.
nutrient-document-engine-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nutrient-document-engine-mcp-server on Agent Skills Hub include pdf-mcp, oreilly-ai-agents, mcp-guardian. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: