wamcp and whatsapp-mcp-stream

Both tools are independent implementations of WhatsApp MCP servers, making them competitors for connecting AI agents to WhatsApp.

wamcp

Emerging

whatsapp-mcp-stream

Experimental

Maintenance 10/25

Adoption 5/25

Maturity 3/25

Community 13/25

Maintenance 10/25

Adoption 2/25

Maturity 11/25

Community 0/25

Stars: 10

Forks: 2

Downloads: —

Commits (30d): 0

Language: TypeScript

License: —

Stars: 2

Forks: —

Downloads: —

Commits (30d): 0

Language: TypeScript

License: MIT

No License No Package No Dependents

No Package No Dependents

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

About whatsapp-mcp-stream

loglux/whatsapp-mcp-stream

A WhatsApp MCP server built around Streamable HTTP transport, using Baileys for WhatsApp connectivity, with a web admin UI and bidirectional media flow (upload + download).

Related comparisons

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

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