mcp-wassenger and wamcp

Both tools are open-source implementations of the Model Context Protocol (MCP) for connecting AI agents to the WhatsApp API, making them directly competing server implementations in the "whatsapp-ai-integration" category.

mcp-wassenger

Emerging

wamcp

Emerging

Maintenance 2/25

Adoption 3/25

Maturity 24/25

Community 12/25

Maintenance 10/25

Adoption 5/25

Maturity 3/25

Community 13/25

Stars: 3

Forks: 1

Downloads: —

Commits (30d): 0

Language: TypeScript

License: MIT

Stars: 10

Forks: 2

Downloads: —

Commits (30d): 0

Language: TypeScript

License: —

Stale 6m

No License No Package No Dependents

About mcp-wassenger

wassengerhq/mcp-wassenger

MCP connector for Wassenger WhatsApp API: Send messages, summarize conversations, automate anything on WhatsApp using text or voice from your favorite AI client like ChatGPT, Claude, Gemini, OpenAI and more 🎉

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

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

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