by spences10 · MCP Server · ★ 86
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Full audit →
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.
| Stars | 86 |
| Forks | 26 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77/100 |
| Open Issues | 11 |
| Last Updated | 2026-08-26 |
| Created | 2025-04-01 |
| Platforms | mcp, node |
| Est. Tokens | ~9k |
mcp-n8n-builder A Model Context Protocol (MCP) server for programmatic creation and management of n8n workflows. This server provides tools and resources for interacting with n8n's REST API, allowing AI assistants to build, modify, and manage workflows without direct user intervention.
These tools work well together with mcp-n8n-builder for enhanced workflows:
Looking for a mcp-n8n-builder alternative? If you're comparing mcp-n8n-builder 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.
AI-powered n8n workflow automation through natural language. MCP server enabling Claude AI & Cursor IDE to cre
Desktop app that automatically scans and blocks malicious MCP traffic in AI apps like Cursor, Claude, VS Code
** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters **
MCP server + embedded terminal that lets Claude Code see and edit your ComfyUI workflows
MCP Fusion - The framework for AI-native MCP servers.
📜 An MCP server for conversation history search and retrieval in Claude Code
Explore other popular mcp server tools:
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: