wamcp and whatsapp-mcp

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.

wamcp

Emerging

whatsapp-mcp

Experimental

Maintenance 10/25

Adoption 5/25

Maturity 3/25

Community 13/25

Maintenance 6/25

Adoption 2/25

Maturity 9/25

Community 12/25

Stars: 10

Forks: 2

Downloads: —

Commits (30d): 0

Language: TypeScript

License: —

Stars: 2

Forks: 1

Downloads: —

Commits (30d): 0

Language: Go

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.

Implements dual-transport MCP with Streamable HTTP and stdio, enabling both server and desktop deployments. Uses BullMQ for rate-limited message queuing (preventing WhatsApp bans) and SQLite for persistent session/message storage across multi-instance deployments. Integrates seamlessly with Claude Desktop, Google ADK, and LangChain via standardized MCP protocol—agents auto-discover all capabilities without custom integration code.

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

Related comparisons

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

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