Video Search And Summarization MCP Server
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.
Video Search And Summarization is an open-source mcp server by NVIDIA-AI-Blueprints, written mainly in Python, with 1,958 GitHub stars and the Apache-2.0 license. Its code was last updated Nov 1, 2026.
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