The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

The MediaCrawler MCP service upgrades the social media crawler into a standardized tool that can be directly called by AI assistants. It supports multi - platform data acquisition and has features such as externalized login, browser reuse, and structured output.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

A multi-platform social media content management MCP server that enables cross-platform content creation and publishing via natural language instructions, with functions such as automatic research, content generation, and data analysis.

This is a Metricool API server based on the Multi - Agent Collaboration Protocol (MCP), which allows AI agents to access and analyze social media metrics, advertising campaign data, and support post scheduling in Metricool accounts.

An MCP server that provides cryptocurrency sentiment analysis, using Santiment's social media and news data to track market sentiment and emerging trends.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

Origins-MCP is a home information integration project that connects smart home devices such as Home Assistant and PiHole through the MCP protocol, providing data query functions for indoor and outdoor temperatures, media playback status, etc.

The MCP Servers Hub is a centralized platform that collects and ranks Model Context Protocol (MCP) servers, sorted by the number of GitHub stars. It covers various service categories such as databases, networks, knowledge systems, and media processing, aiming to provide standardized external resource access interfaces for AI models.

The Plex MCP Server is a service that transforms a Plex media server into an AI - queryable database, providing media library management, viewing statistics, and intelligent query functions.

SociaVault MCP Server is a tool that allows AI assistants to directly query social media data. It supports mainstream platforms such as Instagram, TikTok, Twitter, and YouTube, providing functions to obtain user profiles, posts, videos, and other information.