MCP server
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.
- Rank
- #2576 of 2,652
- Stars
- 1,750★
- On radar
- since 2026-07-22
Momentum
rate of rise, not size · recomputes hourly
Collecting daily history; the trend chart appears after 3 days on the radar
Why it's ranked
video-search-and-summarization is an MCP server ranked #2576 of 2,652 on the Cresting momentum radar, with a score of 16.4. It has 1,750 GitHub stars, and has been tracked since 2026-07-22.
Every score decomposes into published factors, the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.277 |
| Recency boost | 0.000 |
| Signal decay | 0.988 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
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