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 devkitshq · MCP Server · ★ 116
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is notifkit safe to install? View the security audit →
notifkit You shouldn't have to build a notification system. Self-hosted notification infrastructure for product notifications. One API call handles email, SMS, push, and webhooks — with preferences, quiet hours, retries, fallback, scheduling, workflows, and delivery logs built in. Documentation · Quickstart · Examples · notifkit.dev https://github.com/user-attachments/assets/4dff98bb-37d3-44b4-bf46-9607c1cd89b5 ▶️ Watch the AI demo - this is link to raw video file The first notification is easy ts await sendEmail({ to: user.email, subje
| Stars | 116 |
| Forks | 6 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.9462503977284/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-07-16 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~19k |
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notifkit is Self-hosted notification infrastructure for product notifications. One API call handles email, SMS, push, and webhooks, with preferences, quiet hours, retries, fallback, scheduling, workflows, and del. It is categorized as a MCP Server with 116 GitHub stars.
notifkit is primarily written in TypeScript. It covers topics such as ai-agents, developer-tools, email.
You can find installation instructions and usage details in the notifkit GitHub repository at github.com/devkitshq/notifkit. The project has 116 stars and 6 forks, indicating an active community.
notifkit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to notifkit on Agent Skills Hub include daymon, api200, OmoiOS. 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: