whatsapp-desktop-mcp
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- AlicenseBqualityBmaintenanceEnables AI agents to control WhatsApp, including sending messages and media, reading chats, managing groups and communities, with QR/pairing auth and session persistence.146 npm2MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with your personal WhatsApp account, allowing them to search messages and contacts, retrieve chat history, and send messages to individuals or groups. Uses WhatsApp Web API with local data storage for privacy and security.12 npmISC
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to manage WhatsApp: list chats, send and receive messages, download media, and transcribe voice notes via the unofficial Baileys library.36 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read WhatsApp chat history from a SQLite archive, optionally scrape live chats, and send messages through a chain of safety guards.25 npmMIT
- AlicenseBqualityDmaintenanceEnables AI assistants to interact with WhatsApp through the WAHA (WhatsApp HTTP API) platform. Supports chat management, message operations including sending/receiving messages, and marking chats as read.526 npm9ISC
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to interact with your personal WhatsApp account to search messages, list chats, and send messages. It stores all authentication and message data locally using SQLite for privacy and direct multi-device API connection.12 npm1ISC
TDQS
Scored across 10 tools
Most tools are clearly distinct: search_contacts vs search_messages, read_chat vs extract_recent vs get_message_context all have different purposes. However, read_chat and extract_recent both return messages from a chat and could be confused by an agent, though their time-window vs pagination approaches are described.
Tool names mostly follow a verb_noun pattern: search_contacts, search_messages, send_message, send_file, list_chats, read_chat, get_chat_metadata, get_message_context, extract_recent, doctor. The verb 'extract' is a slight deviation from the read/get/search/send/list family, and 'doctor' is a noun rather than verb_noun, but the overall pattern is consistent.
10 tools is well-scoped for a WhatsApp Desktop MCP server: read/search/list/send/get/extract cover the main read and write operations without redundancy. Each tool has a clear role in the workflow.
The server covers the core WhatsApp use cases: listing chats, reading messages, searching contacts/messages, getting context/metadata, and sending messages/files. Missing operations like marking as read, deleting messages, or sending reactions are minor gaps for a desktop automation server, and the read surface is quite thorough.