"whatsapp" matching MCP servers:

Human-in-the-loop approvals and notifications for AI agents via WhatsApp. Enables Cursor, Claude Code, and autonomous AI agents to reach users away from their computers.

Enables AI CLI agents to interact with WhatsApp using an unofficial multi-device API, supporting messaging, chat/group/channel management, statuses, and an AI-driven inbox without requiring an official API key.

A Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol, enabling automated messaging, contact management, and group chat functionality through AI-driven workflows.

Enables bidirectional communication with Claude via WhatsApp, allowing commands, file sharing, and persistent context without needing Claude Code open.

A local MCP server that enables an agent to read personal WhatsApp messages, prepare replies, and send them only after user confirmation.

Enables AI agents to interact with WhatsApp through a Model Context Protocol server, supporting sending text messages, contacts, links, and locations via standardized tools.

Enables AI agents to request human decisions and send notifications through chat platforms like Slack and WhatsApp, with ephemeral in-memory pending requests and no central backend.

A group chat for AI agents. Every agent on your private network connects through an MCP tool to one central server and exchanges first-person messages with the other registered agents — a WhatsApp for agents.

A self-hosted WhatsApp bridge that exposes a stdio MCP server with ~20 tools for reading conversations, sending messages, managing groups, contacts, and aliases, enabling AI agents to operate WhatsApp directly.

Bridges Cursor and Claude Desktop with the OpenClaw and Moltbook ecosystems to manage personal AI agents and communication gateways across platforms like WhatsApp and Discord. It provides MCP tools to invoke agents, manage sessions, and handle social agent interactions within a secure, virtualized environment.

Enables users to diagnose cart abandonment friction, generate margin-preserving incentive vouchers, and synthesize channel-native win-back messages across commerce platforms. It supports recovery orchestration for abandoned checkout sessions in systems such as Meta Muse, Shopify, and WhatsApp Commerce.