whatsapp-assistant-mcp
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- AlicenseNot gradedqualityAmaintenanceEnables Claude Code sessions to be driven from WhatsApp, with bidirectional messaging, media and voice-note transcription, per-group personalities, and tool-permission approval via emoji reactions. Access is gated by pairing codes and allowlists, and it runs as a plain stdio MCP server using either a linked-device pairing or the official Cloud API.MIT
- FlicenseNot gradedqualityAmaintenanceRuns a plain stdio MCP server that lets a Claude Code session send and receive chat messages from a linked phone number or official business account, including media, voice-note transcription, chunked long replies, and @-mentions. Inbound messages can wake the session, and gated access through pairing codes, allowlists and group policies lets only trusted contacts reach it, with tool-permission prompts approvable remotely by emoji reaction.-
- FlicenseNot gradedqualityAmaintenanceEnables a Claude Code session to send and receive WhatsApp messages from a linked personal account or the official Cloud API, including photos, voice notes and documents, with local voice transcription and allowlist-based access control. It also lets users approve or deny Claude's tool requests remotely by emoji reaction and keeps per-chat personalities, cron jobs and conversation context across restarts.-
- FlicenseNot gradedqualityAmaintenanceConnects a Claude Code (or any MCP) session to a WhatsApp account as a linked device or via Meta's official Cloud API, enabling bidirectional chats, group support, media exchange, local voice-note transcription, and scheduled tasks. Inbound messages are gated by pairing codes, allowlists and per-group policies, and Claude's tool permission requests can be approved or denied remotely with an emoji reaction.-
- AlicenseNot gradedqualityDmaintenanceGives Claude Desktop read-only access to your WhatsApp chats and message history via a local MCP server.6 npm3MIT
- AlicenseNot gradedqualityAmaintenanceEnables driving a Claude Code (or other MCP client) session directly from WhatsApp chats, with bidirectional messaging, media and locally transcribed voice notes, polls, per-group personalities, cron tasks, and emoji-reaction approval of tool requests. Inbound traffic is gated by pairing codes, allowlists, and per-group policies, and it runs either through a linked personal-device account or Meta's official Cloud API for business DMs.MIT
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.