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Analyze images and videos with configurable model providers for visual understanding.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "vlm-mcp-server" yet — see the docs or source repo.
Analyze this surveillance video, list key events, human actions, and anomalies on a timeline, and return a structured summary.
A time-ordered event summary including abnormal segments and behavior descriptions.
Identify the main buttons, input fields, navigation areas, and notices in this product UI screenshot, and explain their functions.
A list of UI elements with location notes and functional explanations.
Analyze this batch of videos, extract topic, scene, object, and sentiment tags for each video, and output the results as JSON.
Structured tagging results for each video, ready for search, classification, or downstream automation.
Analyze images through one MCP server across multiple vision providers.
Analyze videos with frame extraction, scene detection, and metadata retrieval.
Analyze local or remote images with vision LLMs and generate descriptions.
Connect your own vision endpoint to run image analysis through MCP.
Analyze videos with scenes, transcripts, visual descriptions, and storyboards.
Extract video frames and metadata for LLM-powered video analysis workflows.