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.
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.
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.
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