WhatsApp MCP Server
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…
In plain words
WhatsApp MCP Server is an open-source, self-hosted tool that connects large language models to WhatsApp by linking to a personal account via WhatsApp Web's multi-device API. It stores all messages locally in SQLite and keeps data private unless explicitly shared with an LLM. The server lets users search messages, contacts, and groups, and enables AI agents to send WhatsApp messages on their behalf. It's designed for people who want to give AI assistants context from their WhatsApp conversations while maintaining full control over their data.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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.
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