notifkit: Self-hosted notification infrastructure for product notifications

by devkitshq · MCP Server · ★ 170

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install notifkit

npm install notifkit @notifkit/provider-resend
npx -y @notifkit/mcp

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

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.

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.

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Quick Facts

Stars170
Forks11
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score63/100
Open Issues2
Last Updated2026-11-04
Created2026-07-16
Platformsmcp, node
Est. Tokens~19k

About notifkit

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.

Compatible Skills

These tools work well together with notifkit for enhanced workflows:

  • brrr-cli — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • collie — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • agentteam-email — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • clawboo — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

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:

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