"YouTube fashion content finder for trends and style guides" matching MCP servers:

Enables AI assistants to query YouTube search trends, including rising topics, growth metrics, and historical search demand, using natural language.

Enables AI assistants to query YouTube search trend data, including rising topics, video keyword growth, and historical demand, using plain language.

A MCP server that aggregates hot trends and rankings from various Chinese websites and platforms including Weibo, Zhihu, Bilibili, and more.

Enables AI agents to query live trend data and historical search volume across 30+ platforms like Google, TikTok, YouTube, Amazon, and Reddit, including growth comparisons and top-ranking trends.

Enables AI to query Reddit discussion volume trends, growth rates, and top topics for any keyword without hitting Reddit API limits.

Analyzes YouTube videos and X (Twitter) feeds to extract transcripts, generate takeaways, TLDRs, social hooks, and comic-style infographics, and syncs results to GitHub, all callable as MCP tools.

MCP server for publishing posts and retrieving metrics on social platforms like Telegram, with planned support for YouTube and Instagram.

Provides TikTok hashtag trend data including volume growth, viral spikes, and historical time series, enabling AI assistants to spot emerging trends before they go mainstream.

Enables retrieving contact emails for YouTube channels from URLs, handles, or channel IDs, including the contact-block email, and supports querying multiple channels at once.

Lets AI assistants manage a self-hosted content hub: create, edit, publish, and update articles across nine platforms, refresh account article lists, and sync changes through natural language.

Provides Reddit discussion volume trends, growth rates, and top trending topics for any keyword, accessible via MCP tools and Python client.

Provides an MCP server with tools for managing a social media content calendar, including adding, listing, and updating content items, plus webhook notifications to team channels.

Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.

This server that distributes a single piece of content across 8+ channels (DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky, LinkedIn, Medium, Twitter) with automatic platform-specific adaptation, idempotent publishing, per-community anti-spam rules, and centralized state management.

Enables finding influencers by keyword or niche across seven creator platforms, with follower counts.

Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.

Enables read-only, user-initiated searches of public r/comfyui troubleshooting discussions, returning titles, excerpts, and direct Reddit links to help find existing solutions before posting duplicate support questions.

Extracts and processes YouTube video content including transcripts, metadata, comments, and channel information for LLMs.

Enables Claude to control a YouTube channel through MCP, including uploading and editing videos, scheduling releases, and reading channel and video analytics via official APIs.

Maps any source asset (e.g., long video, podcast, blog) to all platform formats (TikTok, Reels, Shorts, etc.) with per-platform adaptation rules, enabling a 'film-once-cut-many' content workflow.