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 cporter202 · MCP Server · ★ 7.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is API-mega-list safe to install? View the security audit →
🚀 API Mega List The most comprehensive collection of APIs on GitHub - 11,860 core directory APIs plus 318 sponsored partner listings for building everything from simple automations to full-scale applications. 📊 Repository Stats ⭐ Star This Repository If this API list has helped you, please consider giving it a star! ⭐ Your support helps others discover this valuable resource and keeps me motivated to maintain and update it regularly. #
| Stars | 7,447 |
| Forks | 1,447 |
| Language | JavaScript |
| Category | MCP Server |
| Quality Score | 51.0278678478755/100 |
| Open Issues | 19 |
| Last Updated | 2026-07-23 |
| Created | 2025-12-09 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~25k |
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API-mega-list is This GitHub repo is a powerhouse collection of APIs you can start using immediately to build everything from simple automations to full-scale applications. One of the most valuable API lists on GitHub. It is categorized as a MCP Server with 7.4k GitHub stars.
API-mega-list is primarily written in JavaScript. It covers topics such as ai-tools, api, api-collection.
You can find installation instructions and usage details in the API-mega-list GitHub repository at github.com/cporter202/API-mega-list. The project has 7.4k stars and 1447 forks, indicating an active community.
The top alternatives to API-mega-list on Agent Skills Hub include Skill_Seekers, klavis, aci. 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: