Discover our curated collection of MCP servers for social media management. Browse 325servers and find the perfect MCPs for your needs.
Extract watermark-free videos, video captions, and audio transcripts from Douyin share links.
Automates publishing and managing content across various social media platforms through a Model Context Protocol server.
Provides read-only access to browse and search Reddit content via its official API through a Model Context Protocol (MCP) server.
Generates trending social media posts by processing user-provided screenshots and analyzing their content with OCR and AI.
Facilitates AI assistants in programmatic interaction with Instagram using the Model Context Protocol.
Enables AI models to create and publish posts on X (formerly Twitter) through a standardized interface.
Implements the Model Context Protocol (MCP) server for the Social Layer platform, providing tools for interacting with events, groups, profiles, and venues.
Displays the top trending searches from popular Chinese social media platforms.
Integrates LinkedIn APIs for AI assistants, enabling profile management, content creation, networking, messaging, and analytics.
Enables AI assistants to interact with the YouTube API through the Model Context Protocol (MCP).
Automates the intelligent scraping, AI-processing, and publishing of Canadian news into engaging Instagram content.
Facilitates interaction with the Whatsapp Business API through an auto-generated Multi-Agent Conversation Protocol (MCP) server.
Enables intelligent AI agents to interact with WhatsApp for sending messages and searching chats.
Exposes Twitter API functionalities like tweet posting, timeline retrieval, and search as JSON-RPC tools for MCP-compatible clients.
Automates posting tweets from X (Twitter) using data sourced from a Google Sheet.
Collect and manage data from various online sources.
Manages GitHub followers by unfollowing users who do not follow back and providing detailed follow relationship reports.
Manages Medium content programmatically through browser automation, bypassing the need for API tokens.
Efficiently collects and downloads multimedia content, including images, GIFs, and videos, from QQ Channels.
Integrates Xiaohongshu platform capabilities for AI assistants, enabling access to content and features via Model Context Protocol.
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