WAHA MCP Server
Related Servers
Alternatives to WAHA MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceEnables AI assistants to manage WhatsApp sessions, send multi-format messages, control group participants, and configure webhooks by wrapping the OpenWA REST API with 44 tools.442MIT
- AlicenseBqualityBmaintenanceEnables AI agents to control WhatsApp, including sending messages and media, reading chats, managing groups and communities, with QR/pairing auth and session persistence.1419 npm2MIT
- 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
- AlicenseAqualityDmaintenanceConnects AI assistants to the official Meta WhatsApp Cloud API for managing conversations and sending various message types through natural language. It provides tools for media management, template messages, and real-time webhook processing without the risk of account bans.186 npm23MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to send WhatsApp messages, templates, and retrieve media through the WhatsApp Cloud API. Provides webhook handling and seamless integration with Meta's WhatsApp Business platform.23-
- 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.525 npm9ISC
TDQS
Scored across 63 tools
Most tools have distinct purposes targeting specific WhatsApp actions like sending messages, managing groups, or handling sessions. However, some overlap exists, such as waha_send_text, waha_send_image, and waha_send_video, which could be confused as variants of a general send function, though their descriptions clarify media types. Overall, the set is well-differentiated with minimal ambiguity.
All tools follow a consistent waha_verb_noun naming pattern, using snake_case uniformly. This predictability makes it easy for agents to understand and navigate the toolset, with no deviations in style or structure across the 63 tools.
With 63 tools, the count is excessive for a WhatsApp API server, likely overwhelming agents and causing decision paralysis. A more focused set of 15-25 tools could cover the same functionality without redundancy, such as consolidating send operations into fewer tools. This high number feels heavy and unnecessary for the domain.
The toolset provides comprehensive coverage for WhatsApp operations, including messaging (text, media, polls), group management (create, update, participants), session handling (start, stop, QR codes), and chat features (archive, mute, labels). No obvious gaps exist; it supports full CRUD and lifecycle management for the domain.