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 kimimgo · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-cae safe to install? View the security audit →
The CAE tools an AI agent can actually call Open-source simulation, CAD & meshing tools for agentic / LLM-driven engineering — driv
| Stars | 51 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | CC0-1.0 |
| Quality Score | 58.9616940363691/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-13 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~23k |
These tools work well together with awesome-ai-cae for enhanced workflows:
Looking for a awesome-ai-cae alternative? If you're comparing awesome-ai-cae 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.
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MCPSDK.dev(ToolSDK.ai)'s Awesome MCP Servers and Packages Registry and Database with Structured JSON configura
Use Codex and Claude Code with COMSOL via sim-cli: .mph inspection, live Desktop sessions, bounded execution,
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Turn existing CAE files into structured text an agent can use — COMSOL, Abaqus, Fluent, HFSS, Icepak, FloTHERM
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awesome-ai-cae is A curated list of 100+ AI-ready tools for Computer-Aided Engineering, ranked by an AI-Readiness Score (agent-callability: MCP, Python API, CLI, pip). CFD, FEA, SPH, DEM, differentiable simulation, neu. It is categorized as a MCP Server with 51 GitHub stars.
awesome-ai-cae is primarily written in Python. It covers topics such as ai, ai-for-science, artificial-intelligence.
You can find installation instructions and usage details in the awesome-ai-cae GitHub repository at github.com/kimimgo/awesome-ai-cae. The project has 51 stars and 8 forks, indicating an active community.
awesome-ai-cae is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-cae on Agent Skills Hub include awesome-AI-toolkit, toolsdk-mcp-registry, sim-plugin-comsol. 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: