"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 Model Context Protocol (MCP) server that provides YouTube Data API v3 integration for content discovery and analytics. It enables AI assistants to search for videos, channels, playlists, and retrieve detailed metrics.

Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.

Enables natural-language shopping queries on a fashion inventory flat file, with tools for searching products and recommending matching items via OpenAI.

Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.

Provides hosted trend data MCP server for querying Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and 30+ trend sources in natural language from any MCP-compatible AI.

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam, Spotify, X (Twitter), App Store, Google Play, web traffic, and news sentiment via one MCP connection. Works with Claude, Cursor, VS Code, Windsurf, ChatGPT, and any MCP-compatible AI.

Live trend data for your AI. 25+ platforms. One connection.

Enables AI assistants to query Amazon search volume trends and growth signals for product research and consumer purchase intent analysis.

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.

Provides free Google Trends data (interest over time, term comparison, related queries, trending now, regional breakdown) to MCP-compatible AI clients without needing an API key.

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

MCP server for YouTubeTranscript.dev — extract transcripts, manage history, and power AI assistants with YouTube content.

Enables finding and comparing cash and award flights, with seat maps and trip planning, ranking options by user-defined per-mile valuations.

An MCP server that exposes Wikipedia page view trends as clean JSON, providing normalized 0-100 trend scores, growth rates over 3M/6M/12M/5Y windows, and live most-viewed article feeds, comparable across 15 sources including Google, YouTube, and TikTok.

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.

Enables users to brainstorm brandable domain names from a description, check their real-time availability across domains and GitHub/npm/PyPI namespaces, and get ranked buy candidates via RDAP.

YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.

Korean-content MCP that consolidates real-time trends from Naver, Daum, Google, YouTube, and Zum, includes a 100+ Korean holiday database, and provides a viral-score predictor for content optimization.