by Rich627 · MCP Server · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is whatsapp-claude-plugin safe to install? View the security audit →
WhatsApp MCP Server for Claude Code: Run AI Directly from WhatsApp Published on the Anthropic Official Plugin Marketplace — the first community-built WhatsApp channel plugin to be officially reviewed and published by Anthropic. Connect WhatsApp as a native channel to your Claude Code session using this MCP server plugin. Automate tasks, execute code, search files, and interact with Claude AI directly from WhatsApp messagi
claude plugin install whatsapp-claude-channel@whatsapp-claude-pluginTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 104 |
| Forks | 28 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 72/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-14 |
| Created | 2026-03-24 |
| Platforms | browser, claude-code, docker, mcp, node |
| Est. Tokens | ~15k |
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whatsapp-claude-plugin is Claude Code WhatsApp channel plugin — run AI directly from WhatsApp, voice transcription, remote tool approval, access control. No API keys, no Docker, just a linked device.. It is categorized as a MCP Server with 104 GitHub stars.
whatsapp-claude-plugin is primarily written in TypeScript. It covers topics such as ai-assistant, ai-automation, anthropic.
The README on GitHub (github.com/Rich627/whatsapp-claude-plugin) gives: claude plugin install whatsapp-claude-channel@whatsapp-claude-plugin. Usage details are in the same README.
whatsapp-claude-plugin is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to whatsapp-claude-plugin on Agent Skills Hub include fast-filesystem-mcp, daymon, claude-historian-mcp. 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: