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by verygoodplugins · MCP Server · ★ 154
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WhatsApp MCP Server A Model Context Protocol (MCP) server for WhatsApp, enabling Claude to read and send WhatsApp messages. Originally created by Luke Harries. Maintained by Very Good Plugins. Watch the WhatsApp MCP demo video Product demo generated with Remotion using simulated data. Features Message Management: Search and read personal WhatsApp messages (text, images, videos, documents, audio) Contact Search: Search contacts by name or phone number with format ("Name (phone)") Send Messages: Send text messages to individuals or groups Media Support: Send and download images, videos, documents, and voice messages Call History: Capture incoming voice/video calls into a local SQLite table (live, 1:1 and
| Stars | 154 |
| Forks | 125 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 75.6003733237791/100 |
| Open Issues | 20 |
| Last Updated | 2026-08-27 |
| Created | 2026-01-09 |
| Platforms | claude-code, go, mcp |
| Est. Tokens | ~22k |
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whatsapp-mcp is WhatsApp MCP server - Connect Claude to WhatsApp for reading and sending messages. It is categorized as a MCP Server with 154 GitHub stars.
whatsapp-mcp is primarily written in Go. It covers topics such as anthropic, claude, mcp.
You can find installation instructions and usage details in the whatsapp-mcp GitHub repository at github.com/verygoodplugins/whatsapp-mcp. The project has 154 stars and 125 forks, indicating an active community.
The top alternatives to whatsapp-mcp on Agent Skills Hub include maverick-mcp, claude-historian-mcp, wcgw. 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: