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

An MCP server for generating Chromium-style QR codes with circular modules, rounded locators, and an optional center image (Dino logo or custom).

Enables AI agents to deconstruct outfit photos into clothing pieces, discover 100% in-stock occasion looks, verify live size and fabric availability, and generate direct one-click checkout links.

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.

The premier fashion & apparel Model Context Protocol server. AI bounding box outfit deconstruction, 100% in-stock occasion looks, live size stock, and 1-click checkout.

Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.

AI-powered content and image generation server with Google Imagen 3/4 for images, Veo 2/3 for videos, and Claude/Gemini for marketing copywriting, including batch processing, cost estimation, and campaign planning tools.

Enables AI assistants to extract educational content from YouTube videos by fetching timestamped transcripts and visually meaningful frames, returning them as base64 JPEGs for analysis.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Enables MCP clients to analyze YouTube videos by extracting summaries, timestamped outlines, diagrams with Mermaid code, and targeted insights about specific moments using Gemini's native video understanding.

Analyzes public YouTube videos with Google Gemini, enabling summarization, timestamped insights, metadata extraction, audio analysis, and long-video sessions with follow-up questions.

Define one master style once (lighting, mood, composition, colour) and generate unlimited matching images with different subjects. Hosted remote MCP at https://imag8.art/api/v1/mcp with tools imag8_generate_image, imag8_suggest_variations, imag8_get_account_status. Works with Claude, Cursor, ChatGPT and custom agents. Free tier: 10 credits/month.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

Bridges DeepSeek (text-only) with vision models via MCP, enabling image description and compression using any OpenAI-compatible visual API.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A server that allows AI tools like Claude and Cursor to automate and control Photoshop through natural language commands, enabling tasks like editing PSDs, toggling layers, and generating marketing creatives.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

Provides tools to fetch IIIF manifests and retrieve specific image regions or scaled images for analysis. This server enables detailed interaction with International Image Interoperability Framework resources, supporting tasks like image description and transcription.

Enables high-quality 3D-style cartoon image generation using Google Gemini AI alongside secure file system operations like reading, writing, and managing directories. It provides a dual-purpose toolkit for creative asset generation and local file management via the Model Context Protocol.