"A server for exploring social media platforms and related topics" matching MCP servers:

Enables agents to search and read posts, images, and limited comments across Xiaohongshu, Weibo, Zhihu, and WeChat Official Accounts, with local OCR and traceable sources.

A Model Context Protocol (MCP) server for managing social media posts, currently supporting X (formerly Twitter).

Enables social media account management including content calendars, posting cadence, captions, hashtags, engagement strategies, metrics interpretation, and client reporting.

Enables checking email addresses through the Email Social Media Checker API to verify and validate email information.

media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.

Enables AI agents to draft social media posts for seven platforms, rewrite them to read as human-authored, score them against AI detection, and optionally generate matching images.

An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.

A local MCP service for safely preparing, validating, and executing multi-platform social media auto-publishing, with dry-run mode and real adapter for Douyin.

An MCP server for AI-powered media generation using Google Gemini, enabling creation of images, videos, music, and speech directly from AI agents.

AI-powered social media posting across 14 platforms. Post to Twitter, Instagram, TikTok, Facebook, LinkedIn, YouTube and more with one command. AI adapts content per platform, schedules posts, and generates 30-day content calendars.

An MCP server for cross-platform social media research that enables scraping, semantic search, and analysis across seven major social platforms. It uses Apify for data retrieval and stores results in a local database for AI-powered trend detection and profile analysis.

A Model Context Protocol (MCP) server that empowers LLMs to search across specific social media platforms using the industry's best search engines.

Enables users to turn beats or topics into a ready media list by finding recent news articles, reading their bylines, and returning one row per journalist with name, outlet, author page, article count, latest article, and proof links. Runs the work on Apify and supports filters for date range, country, language, outlet domains, and minimum article counts.

Enables monitoring Google News for companies, brands, people, or topics, returning one row per article with headline, outlet, date, publisher URL, and a headline sentiment label. Supports watch-list state keys so repeat calls surface only articles that haven't been returned before, with a free summary row explaining empty runs.

Connects a Threads account to an MCP assistant so users can read posts and conversations, inspect insights, publish content, and moderate replies through the Threads API.

Enables image generation and editing, video generation and extension, status polling, and download through the Kenari.id media APIs, saving outputs as files on disk.

Enables fetching YouTube transcripts, searching videos, and listing channel/playlist videos via the TranscriptFetch API.

Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.

MCP server for AI-powered image, audio, and video generation, enabling media creation directly from Claude, Cursor, and other MCP clients.

Connects Home Assistant media players to Cursor, allowing automated control of playback (play/pause) based on agent activity for dopamine-driven development breaks.

MCP server for extracting transcripts from Instagram videos using AssemblyAI, enabling timestamped transcriptions with speaker labels through natural language.

Enables users to manage Sonarr and Radarr instances through natural language, allowing search, addition, deletion, and monitoring of TV series and movies.

MCP server providing X/Twitter and Reddit search tools for AI agents, returning raw social media data with cleaning and re-ranking, including full Reddit comment tree reading for cost-effective synthesis.

Lets any MCP-capable AI agent upload, schedule and publish videos on YouTube, Facebook and TikTok by driving the user's own logged-in Chrome, with no API keys, developer apps or app review. It cross-posts a single video to all three platforms in parallel with per-platform captions, and supports batches, dry runs, and verified scheduling results with failure evidence.

This server provides robust media metadata detection, AAC audio stream extraction, and EXIF data reading using only pure JavaScript. It is optimized for execution in highly restricted environments where traditional binaries like FFmpeg or Python are unavailable.

Enables AI assistants to inspect, triage, and safely retry media-processing jobs through read/write tools, runbook search, and media probing, with OAuth scopes, rate limiting, idempotency, PII redaction, and human approval before changes.

Enables publishing and scheduling social media posts through the Social by Start-Win API, supporting multiple connected networks.

An MCP server that enables AI assistants to access Sprout Social data including analytics, publishing, messages, and listening through a standardized interface.

Gives LLM agents read-only access to YouTube and Instagram analytics, returning engagement rates, performance versus a channel's median, outlier detection, and Shorts/Reels versus long-form splits for channels, videos, comments, posts, and hashtags. It also provides a prompt that audits a channel and proposes data-backed video ideas, with quota-aware caching and actionable error messages.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.