zaileys-mcp
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- AlicenseAqualityBmaintenanceConnects AI agents to WhatsApp via the Baileys library using QR code pairing, enabling sending and receiving messages without the Meta Business API. Supports persistent sessions, access control, and message buffering.51MIT
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- AlicenseCqualityCmaintenanceEnables AI assistants to interact with WhatsApp through the WSAPI service, supporting comprehensive messaging, contact management, group operations, and account management functionality. Allows sending various media types, managing chats, and controlling WhatsApp sessions through natural language.1007 npm3MIT
TDQS
Scored across 14 tools
Each tool has a clearly distinct purpose, covering different actions like sending various message types, reacting, checking status, and managing chats. There is no overlap or ambiguity.
Most tools follow a verb_noun pattern (e.g., send_media, list_chats), but 'me' and 'react' deviate, and 'group_metadata' uses noun_noun. Overall, the pattern is mostly consistent.
14 tools is well-scoped for a WhatsApp integration, covering messaging, media, reactions, typing, group info, account status, and more. Not too few or too many.
The static set lacks some common operations like group creation or message deletion, but the find_tools mechanism can dynamically activate missing tools. Therefore, notable gaps exist but are mitigable.