Hi HN – I built an open-source, self-hosted Model Context Protocol (MCP) server for WhatsApp: https://github.com/lharries/whatsapp-mcp
It connects to your personal WhatsApp account via the WhatsApp Web multi-device API (using whatsmeow from the Beeper team), and doesn't rely on third-party APIs. All messages are stored locally in SQLite. Nothing is sent to the cloud unless you explicitly allow your LLM to access the data via tools – so you maintain full control and privacy.
The MCP server can:
- Search your messages, contacts, and groups
- Send WhatsApp messages to individuals or groups
Why build this?
99% of your life is stored in WhatsApp, by connecting an LLM to WhatsApp you get all this context. And your AI agent can execute tasks on your behalf by sending messages.
Comments URL: https://news.ycombinator.com/item?id=43532967
Points: 22
# Comments: 2
Inicia sesión para agregar comentarios
Otros mensajes en este grupo.
Article URL: https://foundation.tlapl.us/challenge/index.html

Article URL: https://github.com/reubeno/brush
Comments URL: https://news.ycombinator.c

Article URL: https://spectrum.ieee.org/supercapacitor-2671883490

Article URL: https://idiallo.com/blog/when-the-machine-stops

Article URL: https://micahflee.com/despite-misleadi

Article URL: https://arxiv.org/abs/2504.14064
Comments URL: https://news.ycombinator.c
Hey HN! We’re Will and Jeff from Exa (https://exa.ai). We recently launched Exa Websets, an embeddings-powered search engine designed to return exactly what you’re ask