video-search-and-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

Type: MCP server
Imported from GitHub
Popularity: 1.9K GitHub stars
Source: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization
Repository: https://github.com/nvidia-ai-blueprints/video-search-and-summarization
Tags: computer-vision, generative-ai, long-video-understanding, model-context-protocol, multimodal-ai, natural-language-search, nvidia-nim, rag, real-time-video-analytics, retrieval-augmented-generation, skills, video-agent
Updated: 2026-10-01

More MCP servers

browser-use — Control a real Chrome browser to complete any task: fill forms, extract data, book flights.
gemini-cli — An open-source AI agent that brings the power of Gemini directly into your terminal.
World Monitor — Live markets, conflicts, country risk, chokepoints, energy, and China decision signals. 86 tools.
Scrapling MCP Server — Web scraping with stealth HTTP, real browsers, and Cloudflare bypass. CSS selectors supported.
Front-End Checklist — Review frontend code and live pages against 386 quality-gated web development rules.
ruflo — 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems…
TrendRadar — ⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RS…
Context7 — Up-to-date code docs for any prompt