by adeze · MCP Server · ★ 188
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add adeze/raindrop-mcp --global
npx @adeze/raindrop-mcpTaken from the project's README on GitHub.
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.
| Stars | 188 |
| Forks | 28 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 44 |
| Last Updated | 2026-10-13 |
| Created | 2025-03-25 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
Raindrop.io MCP Server Connect Raindrop.io to your AI assistant with a simple MCP server. Use it to organize, search, and manage bookmarks with natural language. What it can do Create, update, and delete collections and bookmarks Search bookmarks by tags, domain, type, date, and more Manage tags (list, rename, merge, delete) Read highlights from bookmarks Bulk edit bookmarks in a collection Audit...
Looking for a raindrop-mcp alternative? If you're comparing raindrop-mcp 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.
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth,
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools,
MCP Playbooks for AI agents
开盒即用的优雅管理mcp服务 | 结合Agent框架 | 作者听劝 | 已发布pypi | Vue页面demo
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few
The AI control plane for every agent in your enterprise, built around an enterprise-grade MCP gateway. Give ea
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: