wamcp and whatsapp-mcp-server

Both tools are independent, competing implementations of a WhatsApp MCP Server, each offering different feature sets and underlying technologies for connecting AI agents to WhatsApp.

wamcp
31
Emerging
whatsapp-mcp-server
22
Experimental
Maintenance 10/25
Adoption 5/25
Maturity 3/25
Community 13/25
Maintenance 13/25
Adoption 0/25
Maturity 9/25
Community 0/25
Stars: 10
Forks: 2
Downloads: —
Commits (30d): 0
Language: TypeScript
License: —
Stars: —
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.

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-server

spirit122/whatsapp-mcp-server

The most complete MCP Server for WhatsApp Business Cloud API. 35 tools, 8 modules. Hosted on Cloudflare Workers.

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-stream

Scores updated daily from GitHub, PyPI, and npm data. How scores work