"Real-time web scraping implementation" matching MCP servers:

An MCP (Multi-Agent Conversation Protocol) Server that provides access to Google's Real-Time Bidding API, enabling programmatic interactions with RTB functionalities through natural language.

The Time MCP Server is a Model Context Protocol (MCP) server that provides AI assistants and other MCP clients with standardized tools to perform time and date-related operations. This server acts as a bridge between AI tools and a robust time-handling back

Enables interaction with Time Messenger and Mattermost-compatible servers via their REST API, supporting reading, writing, and event streaming with configurable write policies for safety.

Enables natural language time tracking through Claude with markdown file storage. Supports multi-company tracking, flexible time parsing, auto-calculated summaries, and commitment warnings all through conversational input.

A MCP server that provides timezone-aware date and time operations. This server addresses the common issue where AI assistants provide incorrect date information due to timezone confusion.

A TypeScript server that provides time-related tools through the Model Context Protocol, allowing users to get current time in various timezones and convert times between different IANA timezones.

Enables advanced browser automation using real Brave Browser with 49 tools for web scraping, content extraction, video downloads, CAPTCHA solving, and anti-detection features. Includes automatic Brave installation, built-in ad-blocking with uBlock Origin, and support for complex scenarios like bypassing Cloudflare protection.

Provides comprehensive time manipulation capabilities including timezone conversions, date arithmetic, business day calculations, duration calculations, and recurring event handling. Enables natural language time queries with high performance and intelligent caching.

Whatsapp-Web MCP

Provides unified access to QuickBooks Time API functionality. This server consolidates multiple QuickBooks Time services into a single, efficient interface.

MCP server that lets Claude read and send WhatsApp messages using a genuine WhatsApp Web client behind a code-enforced human-behavior middleware for safety.

Bridges the editing capabilities of an already-open DingTalk document in the browser to any MCP host via standard stdio, forwarding tools to the page's internal MCP server over a local WebSocket. Supports read/write operations through suggested edits, pairing-based security, and zero runtime dependencies.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Enables AI assistants to create and manage visual automation configurations, workflows, and UI states through the Qontinui API. It supports project management, workflow execution, and configuration handling for automated web interactions.

Enables authenticated MCP clients to automate UI-only operations on Digital Invoicing Software via Playwright, including login/session checks, navigation, dashboards, invoice validation/edit/duplication/export, reporting, screenshots, and user management with per-tenant isolation.

An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.

An AI-powered MCP server that automates web testing workflows by enabling recording, execution, and discovery of tests through natural language prompts.

A Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol, enabling automated messaging, contact management, and group chat functionality through AI-driven workflows.

A simple Model Context Protocol (MCP) server that provides date and time functionality in any timezone, along with user profiles and personalized greeting resources.

Enables natural language time tracking and reporting for Harvest, including automatic leave requests, project/task matching, and date parsing.