The WhatsApp MCP Server is a tool that connects personal accounts via the WhatsApp Web Multi-Device API. It supports message search, sending, and multimedia processing, and integrates with LLMs such as Claude.

A multi-channel platform server based on WhatsApp that provides REST APIs for message sending and receiving management.

A Python server that provides an interface for interacting with the WhatsApp Business API through FastMCP

This project builds a natural - language - based WhatsApp message sending and scheduling system through a client - server architecture. The server uses Mistral's LLM to parse user intentions and calls Twilio's API to send WhatsApp messages.

The WhatsApp MCP Server is a Node.js-based application that enables programmatic interaction with the WhatsApp desktop version through AppleScript automation, providing message sending and status checking functions.

A comprehensive server for interacting with the WhatsApp Business API, supporting functions such as message sending, template management, media uploading, and business profile updates.

Infobip MCP servers allow AI agents to interact with the Infobip platform via the Model Context Protocol, support sending messages via multiple channels such as SMS, WhatsApp, and Viber, manage customer data and user accounts, and provide production-level communication services

An MCP server that connects Claude and WhatsApp, enabling automated interaction features through the Evolution API

A WhatsApp MCP server based on TypeScript and the Baileys library that connects personal WhatsApp accounts to AI agents to enable functions such as message search and sending.

Titanmind WhatsApp MCP is a WhatsApp marketing and messaging service tool based on the Titanmind platform. It provides functions such as conversation management, template creation, and bulk sending, supporting free - form messages within 24 hours and automatic processing of template workflows.

WhatsApp server - side implementation based on GreenAPI, providing functions such as session management, message sending and receiving, and group operations.

This is a YCloud WhatsApp API server based on the MCP protocol, which can automatically generate tools to enable AI models to directly interact with the WhatsApp API.

WhatsApp Web MCP is a bridging project that connects WhatsApp Web with AI models. It provides a standardized interface through the Model Context Protocol (MCP) and supports automating and enhancing the WhatsApp interaction function.

The WhatsApp MCP Server is an enhanced messaging service platform that combines AI technology with the WhatsApp API, aiming to improve users' WhatsApp interaction experience.

WhatsApp Web MCP is a Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol (MCP), providing a standardized interface for automated messaging, contact management, and group chat functions.

Titanmind WhatsApp MCP is a WhatsApp marketing and messaging service tool based on the Titanmind platform, providing functions such as conversation management, template creation, and bulk sending. It supports free messages and automatic processing of template workflows within the 24 - hour window.

The OWL x WhatsApp MCP Server project is an application that integrates WhatsApp messaging functionality with a multi - agent collaboration framework. It enables AI agents to access, search, and send messages to WhatsApp data through the Streamlit interface and supports real - time web searches.

An MCP server that interacts with HF daily papers via WhatsApp

RentSmart MCP is a multi-channel plugin service based on FastAPI, providing WhatsApp bot functions for generating lease agreements, rent receipts, and querying stamp duty information.

NiagaBot is a smart WhatsApp business automation robot based on Qwen3-Omni AI, supporting functions such as multimodal message processing, group management, batch broadcasting, and data analysis