"WhatsApp MCP (Model Context Protocol) Integration" matching MCP servers:

Summarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.

MCP server for sending and reading WhatsApp messages through Claude, with human approval on sends and no auto-replies.

Enables AI assistants to fetch web content, search for products on Google Shopping, and integrate with WhatsApp messaging. Serves as a bridge between Puch AI and external services through authenticated API endpoints.

Single-binary Go MCP server that wraps whatsmeow to expose a personal WhatsApp account as 41 MCP tools (messaging, groups, polls, media, privacy).

MCP server that gives AI agents read and write access to WhatsApp on macOS, reading local chat history offline and sending messages via pre-filled drafts with explicit user confirmation.

MCP server for WhatsApp via GREEN-API gateway, enabling agents to read chat history and send messages and files.

Lets you read WhatsApp history from the macOS app's own SQLite database without QR pairing or ban risk, with optional token-gated replying.

Enables sending messages, images, documents and more on WhatsApp directly from any MCP-compatible AI, with tools for chat management, groups, and webhooks.

Enables sending WhatsApp Business messages including text, media, interactive lists/buttons, and template management through the WhatsApp Business API via Nango integration.

Enables AI clients to read and send WhatsApp chats, messages, contacts, groups, polls, reactions and media through two isolated adapters — a personal linked-device runtime and the official Meta Business Graph API — each with per-profile credentials, audit/history storage and managed media. Writes are gated behind prepare/confirm workflows, and inbound media or history is restricted to verified provider IDs and bounded, allowlisted downloads.

A Model Context Protocol server that connects your personal WhatsApp account to AI agents like Claude, enabling them to search messages, view contacts, retrieve chat history, and send messages via WhatsApp.

MCP server that connects AI agents to WhatsApp using the multi-device API, enabling messaging, group management, and more as a regular user.

Enables Claude to read, search, and reply to your personal WhatsApp messages by linking as an extra device, with support for chat history, full-text search, media downloads, and sending messages or files.

Enables Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.

Enables pushing WhatsApp messages into a running Claude Code session, allowing users to reply and approve or deny tool requests from their phone.

Enables MCP clients to list, read, search, and send WhatsApp messages via a persistent WebSocket connection with local SQLite storage.

A bridge that connects WhatsApp Web to AI models using the Model Context Protocol, enabling Claude and other AI systems to interact with WhatsApp through a standardized interface.

Enables AI agents to send WhatsApp notifications to their owner and read the owner's replies through a local gateway, without requiring the Meta Business API.

Enables AI assistants to read WhatsApp chat history from a SQLite archive, optionally scrape live chats, and send messages through a chain of safety guards.

Enables connecting a personal or business WhatsApp account via QR pairing and then sending/reading messages, managing chats, contacts, groups, and searching message history through MCP tools.