Panniantong/Agent-Reach
Agent Reach gives AI agents the ability to access and interact with the entire internet, including popular platforms like Twitter, Reddit, YouTube, GitHub, and Bilibili, without API fees, enhancing...
Awesome MCP › Social & Messaging
lharries/whatsapp-mcp
WhatsApp MCP Server is a Model Context Protocol (MCP) server designed to enable AI-driven interaction with personal WhatsApp messages and media. It integrates with large language models (LLMs) such as Claude to allow users to search, read, and send WhatsApp messages, including multimedia content like images, videos, documents, and audio messages. The system connects directly to a user's personal WhatsApp account via the WhatsApp Web multi-device API, utilizing the whatsmeow library in a Go-based bridge application. All messages and media metadata are stored locally in a SQLite database, ensuring user data privacy and control. The architecture consists of two main components: a Go WhatsApp bridge that handles WhatsApp API communication, authentication via QR code, and data storage; and a Python MCP server that implements the Model Context Protocol to provide standardized tools for LLMs to interact with WhatsApp data. Users can perform various operations through the MCP tools, such as searching contacts, listing messages and chats, retrieving chat information, sending messages and media files, and downloading media content. The server supports sending voice messages in the .ogg Opus format and can automatically convert other audio formats using FFmpeg if installed. The system is designed to work with AI agents like Claude or Cursor, enabling natural language interaction with WhatsApp conversations. The project includes detailed installation instructions, including prerequisites like Go, Python, and the Anthropic Claude Desktop app, and provides guidance for Windows users to enable CGO for SQLite support. Overall, WhatsApp MCP Server offers a powerful and privacy-conscious way to integrate WhatsApp messaging with AI-driven tools, enhancing user interaction with their personal WhatsApp data through advanced language models and the Model Context Protocol.
https://github.com/lharries/whatsapp-mcp
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