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

A server that enables language models to perform web searches through SearXNG using the Model Context Protocol standard.

Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.

MCP server that controls WhatsApp Desktop via Chrome DevTools Protocol using the user's real session, enabling tools to list chats, read messages, search contacts, and send messages with simulated typing and rate limiting.

AIFeed Open Standard. AIFeed Protocol to the building tools section. AIFeed enables web publishers to provide verified, token-efficient content feeds for AI agents.

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.

Read-only MCP server for WhatsApp Web allowing listing chats and reading recent messages, without sending or mutating WhatsApp state.

Local MCP server for agents to search, structure, and export authorized WhatsApp Web conversations. Uses Playwright for DOM interaction, supports message search, export, media transcription, and controlled message sending.

Enables Claude Code to interact with WhatsApp, allowing reading messages, sending messages, and daily summaries using a local WhatsApp Web session.

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

Exposes runtime-local capabilities from browsers, apps, devices, and local processes to AI agents through a unified MCP bridge, enabling path-based discovery and invocation of live context.

A read-only MCP server that gives AI agents the web as compact, ranked, verified evidence — no API keys, no cloud retrieval, all models local.

Enables AI assistants to inspect React component trees, props, state, and source locations in Chrome, facilitating UI debugging and analysis.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

A powerful Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

An advanced integration package that leverages OpenRouter and Perplexity APIs to provide enhanced web search capabilities, offering both simple and complex query processing with file attachment support.

Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.

A production-ready Model Context Protocol server that enables language models to leverage AI-powered web scraping capabilities, offering tools for transforming webpages to markdown, extracting structured data, and executing AI-powered web searches.

Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.