"Understanding Vector Search" matching MCP servers:

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

Hands local video files to Gemini's native video understanding for detailed, timestamped descriptions, and also supports image/media viewing with frame extraction.

An MCP server that converts raster images (PNG, JPG, WEBP) to scalable SVG vector graphics.

An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.

Enables searching, retrieving metadata, and downloading YouTube videos or audio without requiring an API key. It utilizes yt-dlp to support media retrieval and playlist management within MCP-compliant clients like Claude and Cursor.

Enables AI agents to vectorize raster images and import vector files (PDF/AI/EPS), then inspect, edit, render, and optimize SVGs locally.

Enables image analysis and understanding using Vision Language Models through OpenAI-compatible APIs. Supports analyzing images from URLs or local files with custom prompts.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.

A unified MiniMax multimodal MCP server that enables users to access text, search, image understanding, image generation, speech synthesis, video generation, music generation, and quota query capabilities through AI CLI tools.

Provides image understanding capabilities via local OCR and cloud VLM, enabling text extraction and visual description through MCP.

A MCP server for video multimodal understanding based on Alibaba Cloud DashScope, enabling video content analysis, summarization, scene recognition, and custom analysis.

Transforms YouTube videos into LLM-ready knowledge bases through transcription, semantic chunking, and vector embedding services. It provides 12 specialized MCP tools for video processing, semantic search, and SEO intelligence analysis.

Enables AI models to convert NotebookLM PDF exports into high-quality PowerPoint presentations with automatic watermark removal and vector graphics preservation. It provides automated tools for slide conversion, metadata management, and document processing via the Model Context Protocol.

Provides access to the fal-ai/recraft/v3 image generation model for creating high-quality images with advanced style controls including realistic, digital illustration, and vector art styles, plus color guidance and local image download capabilities.

Turn any link — video, PDF, screenshot, or article — into cached, timestamp-anchored understanding agents can query through lenses (explainer, build spec, teardown, design tokens, production blueprint). Every claim carries the exact second or page it came from.

Enables high-quality image generation with advanced text rendering and contextual understanding using FLUX.1 Kontext Max through the Replicate API. Supports text-to-image generation, image editing, multiple aspect ratios, and automatically downloads generated images locally.

Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.

Enables visual understanding and image description capabilities for iFlow CLI and Claude Desktop using Doubao's vision model. It supports 18 image formats and features automatic optimization, caching, and Chinese language optimization.