by NitroRCr · MCP Server · ★ 1.8k
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 | 1,837 |
| Forks | 160 |
| Language | TypeScript |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 63/100 |
| Open Issues | 59 |
| Last Updated | 2026-05-18 |
| Created | 2024-08-31 |
| Platforms | claude-code, cli, docker, mcp, node |
| Est. Tokens | ~394k |
AI as Workspace [!WARNING] This project is deprecated and has been succeeded by Nya AI, a complete rewrite with a new tech stack. The new project provides most of the features and consistent experience of this project, along with many new features and optimizations. For existing users, please refer to Migrating to Nya AI.
Looking for a AIaW alternative? If you're comparing AIaW 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.
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
AI agent microservice
AI gets the context. Not your private data. Local-first privacy proxy for browser chat, AI APIs, and coding ag
Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel.
[DEPRECATED] Legacy Klavis AI MCP integrations. See klavis.ai for RL environments and training data.
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: