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.
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Quick Install
Copy the config for your editor. Some servers may need additional setup — check the README.
Claude Desktop
Claude Code
Cursor
Add to claude_desktop_config.json:
{
"mcpServers": {
"video-search-and-sum": {
"command": "npx",
"args": [
"-y",
"NVIDIA-AI-Blueprints/video-search-and-summarization"
]
}
}
}
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Run in terminal:
claude mcp add video-search-and-sum npx -y NVIDIA-AI-Blueprints/video-search-and-summarization
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Add to .cursor/mcp.json:
{
"mcpServers": {
"video-search-and-sum": {
"command": "npx",
"args": [
"-y",
"NVIDIA-AI-Blueprints/video-search-and-summarization"
]
}
}
}
📋 Copy
README Excerpt
<h2>NVIDIA AI Blueprint: Video Search and Summarization (VSS)</h2> - [Overview](#overview) - [Use Case / Problem Description](#use-case--problem-description) - [Agent Workflows](#agent-workflows) - [Software Components](#software-components) - [Target Audience](#target-audience) - [Repository Structure Overview](#repository-structure-overview)
Topics
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 video-analytics video-rag video-search