by xinvxueyuan · MCP Server · ★ 12
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 | 12 |
| Forks | 1 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77/100 |
| Last Updated | 2026-10-22 |
| Created | 2026-07-25 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~16k |
MCP server for integrating NovelAI Image generation into AI agents.
Looking for a NovelAI-Image-MCP alternative? If you're comparing NovelAI-Image-MCP 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.
MCP server for YouTube — search videos, get transcripts, channels, and playlists. Works with Claude, Cursor &
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT
147 AI tools for Unity game development via MCP (Model Context Protocol). Connect Claude, Cursor, and AI assis
Vendor-neutral MCP configuration manager — one CLI to add, toggle, and audit MCP servers and skills across eve
Claude Code skills for Bria AI - generate, edit, and transform images with Fibo, RMBG-2.0, and VGL structured
Automatic context preservation for Claude Code. Never lose work to compaction again. 7 hooks, 187 semantic pat
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: