whatsapp-mcp: WhatsApp MCP server - Connect Claude to WhatsApp for reading and sending messages

by verygoodplugins · MCP Server · ★ 260

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

How to install whatsapp-mcp

git clone https://github.com/verygoodplugins/whatsapp-mcp.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 76/100

Flagged: sudo usage. 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.

anthropicclaudemcpmcp-servermessagingmodel-context-protocolwhatsapp

Quick Facts

Stars260
Forks178
LanguageGo
CategoryMCP Server
Quality Score76/100
Open Issues47
Last Updated2026-10-25
Created2026-01-09
Platformsclaude-code, go, mcp
Est. Tokens~22k

About whatsapp-mcp

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.

Compatible Skills

These tools work well together with whatsapp-mcp for enhanced workflows:

  • whatsapp-cli — semantic(0.52)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • openclaw-kapso-whatsapp — semantic(0.29)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • agent-skills — semantic(0.43)+complementary+rare_topics+similar_pop (55%)

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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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