whatsapp-assistant-mcp
Related Servers
Alternatives to whatsapp-assistant-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceGives Claude Desktop read-only access to your WhatsApp chats and message history via a local MCP server.3 npm3MIT
- AlicenseNot gradedqualityCmaintenanceEnables pushing WhatsApp messages into a running Claude Code session, allowing users to reply and approve or deny tool requests from their phone.MIT
- FlicenseNot gradedqualityBmaintenanceMCP server that lets Claude read and send WhatsApp messages using a genuine WhatsApp Web client behind a code-enforced human-behavior middleware for safety.-
- FlicenseNot gradedqualityDmaintenanceEnables Claude Code to interact with WhatsApp, allowing reading messages, sending messages, and daily summaries using a local WhatsApp Web session.-
- AlicenseNot gradedqualityDmaintenanceEnables Claude Code to interact with WhatsApp for reading messages, sending replies, and searching contacts through the Model Context Protocol. It uses whatsapp-web.js to facilitate local connection management with QR code authentication and session persistence.4MIT
- AlicenseNot gradedqualityDmaintenanceConnects WhatsApp to Claude Code, enabling message reading, audio transcription, image analysis, and message sending with full codebase context.32 npmMIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: listing chats, reading stored message history, sending a new message, and polling for newly arrived messages. The one potential overlap between read_chat_messages and poll_chats is resolved by their explicit focus on historical versus incremental messages.
All four tool names follow the same verb_noun snake_case pattern: list_chats, read_chat_messages, send_chat_message, and poll_chats. There are no mixed conventions or inconsistent verb styles.
Four tools is a well-scoped size for a WhatsApp assistant: list, read, send, and poll cover the core needs without unnecessary redundancy. Each tool earns its place.
The toolset covers the main assistant workflow: discovering conversations, reading previous messages, sending replies, and receiving new messages. It lacks richer operations like media sending, message search, or read receipts, but those are reasonable omissions for this focused server.