Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by czlonkowski · MCP Server · ★ 23.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is n8n-mcp safe to install? View the security audit →
n8n-MCP A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 1,236 workflow automation nodes (806 core + 430 community). Overview n8n-MCP serves as a bridge between n8n's workflow automation platform and AI models, enabling them to understand and work with n8n nodes effectively. It provides structured access to: 📚 1,084 n8n nodes - 537 core nod
| Stars | 22,958 |
| Forks | 3,657 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.911555656914/100 |
| Open Issues | 63 |
| Last Updated | 2026-09-21 |
| Created | 2025-06-07 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~25k |
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n8n-mcp is A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you. It is categorized as a MCP Server with 23.0k GitHub stars.
n8n-mcp is primarily written in TypeScript. It covers topics such as mcp, mcp-server, n8n.
You can find installation instructions and usage details in the n8n-mcp GitHub repository at github.com/czlonkowski/n8n-mcp. The project has 23.0k stars and 3657 forks, indicating an active community.
n8n-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to n8n-mcp on Agent Skills Hub include activepieces, trigger.dev, Scrapling. 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: