"Using WhatsApp as the Main Platform for Customer Communication and Services" matching MCP servers:

Enables Claude to interact with WhatsApp on macOS through the Model Context Protocol. It allows reading messages, searching contacts, listing chats, and sending replies via natural conversation.

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

Send WhatsApp messages from your own personal number via AI assistant, with confirm-before-send and ability to read and summarize recent chats.

An MCP server that connects Claude to WhatsApp for reading group messages, searching conversations, and sending messages. It includes advanced tools for analyzing group activity patterns, member statistics, and syncing message history.

Converts REST APIs into MCP tools using Gradio, demonstrated with a local IBM Granite model via Ollama. Enables LLM clients to interact with any REST API endpoint through the MCP protocol.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Enables a Claude Code agent to read messages from and send messages to a pre-approved allowlist of WhatsApp chats via a stdio MCP server.

Governs and automates WhatsApp messaging for AI agents with security controls like recipient allowlisting, secret scanning, rate limiting, and audit logging.

Connects AI assistants to the official Meta WhatsApp Cloud API for managing conversations and sending various message types through natural language. It provides tools for media management, template messages, and real-time webhook processing without the risk of account bans.

A Python-based MCP server that automates WhatsApp Web using Playwright to manage chats and messages. It enables users to list conversations, send messages, and retrieve history through a local browser automation interface.

An MCP server that enables AI to control WhatsApp Web via Puppeteer Stealth for reading and sending messages. It features human-like interaction patterns and anti-ban protections to securely manage chats and communications through natural language.

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

An MCP server that enables interaction with WhatsApp using the Baileys library and Streamable HTTP transport. It supports managing contacts, chats, and messages, while providing a web admin UI for QR code authentication and media handling.

Enables MCP clients to control ZWCAD on Windows, providing 26 automation tools for 2D/3D drawing, annotation, entity editing, document management, and more.

Enables connecting a personal WhatsApp number to any MCP client, providing tools to send, search, and manage WhatsApp messages, with an optional auto-reply feature.

Enables AI assistants to interact with WhatsApp by sending messages, triaging urgent conversations, scheduling messages, and managing automated replies with safety controls and human approval.

Whatsapp-Web MCP

Enables Claude Code to interact with WhatsApp for reading messages, sending replies, and searching contacts through the Model Context Protocol. It uses whatsapp-web.js to facilitate local connection management with QR code authentication and session persistence.

The most complete MCP Server for WhatsApp Business Cloud API. 43 tools across 10 modules including messaging, templates, media, webhooks, analytics, AI auto-reply, and anti-spam protection.

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