whatsapp-mcp and wamcp

These two tools are competitors, as both aim to provide a Model Context Protocol (MCP) server for connecting AI agents to WhatsApp, albeit with different underlying implementations and feature sets.

whatsapp-mcp

Emerging

wamcp

Emerging

Maintenance 6/25

Adoption 2/25

Maturity 13/25

Community 12/25

Maintenance 10/25

Adoption 5/25

Maturity 3/25

Community 13/25

Stars: 2

Forks: 1

Downloads: —

Commits (30d): 0

Language: Go

License: MIT

Stars: 10

Forks: 2

Downloads: —

Commits (30d): 0

Language: TypeScript

License: —

No Package No Dependents

No License No Package No Dependents

About whatsapp-mcp

eddmann/whatsapp-mcp

MCP server enabling LLMs to interact with WhatsApp - send messages with fuzzy name matching, full-text search across conversations, manage chats and contacts, and download media

About wamcp

delltrak/wamcp

WhatsApp MCP Server — Connect AI agents to WhatsApp via Model Context Protocol. 61 tools, 10 resources, 12 real-time events. Supports Baileys (WhatsApp Web) and Cloud API. Built with TypeScript, BullMQ, and Docker.

This is for software developers who are building AI agents and need them to interact with WhatsApp. It provides a way for your AI agent to send messages, manage groups, and receive real-time updates on WhatsApp without writing custom code for the WhatsApp API. It takes commands from your AI agent (like 'send a text message') and translates them into actions on WhatsApp, making it simple to integrate AI agents with WhatsApp.

AI-agent-development chatbot-integration messaging-automation developer-tools

Related comparisons

whatsapp-mcp and whatsapp-mcp-extended whatsapp-mcp and whatsapp-messaging-mcp whatsapp-mcp and whatsapp-mcp-extended whatsapp-mcp and mcp-wassenger whatsapp-mcp and titanmind-whatsapp-mcp whatsapp-mcp and mcp-server

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