by NVIDIA-AI-Blueprints · MCP 服务器 · ★ 1.9k
NVIDIA AI Blueprint: Video Search and Summarization (VSS) Table of Contents Overview Use Case / Problem Description Agent Workflows Software Components Target Audience Repository Structure Overview Documentation Prerequisites Hardware Requirements Quickstart Guide Contributing License Overview The NVIDIA Blueprint for Video Search and Summarization (VSS) provides a suite of reference architectures for building vision agents and AI-powered video analytics applications.
| Stars | 1,933 |
| Forks | 412 |
| Language | Python |
| Category | MCP 服务器 |
| License | Apache-2.0 |
| Quality Score | 58.0142296103694/100 |
| Open Issues | 252 |
| Last Updated | 2026-10-19 |
| Created | 2024-10-22 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
These tools work well together with video-search-and-summarization for enhanced workflows:
Explore other popular mcp 服务器 tools:
video-search-and-summarization is 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 r. It is categorized as a MCP 服务器 with 1.9k GitHub stars.
video-search-and-summarization is primarily written in Python. It covers topics such as computer-vision, generative-ai, long-video-understanding.
You can find installation instructions and usage details in the video-search-and-summarization GitHub repository at github.com/NVIDIA-AI-Blueprints/video-search-and-summarization. The project has 1.9k stars and 412 forks, indicating an active community.
video-search-and-summarization is released under the Apache-2.0 license, making it free to use and modify according to the license terms.