$ loading_
Create vision detectors, query images, and configure alerts using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Groundlight MCP Server" yet — see the docs or source repo.
Create a computer vision detector in Groundlight for scratches on packaging surfaces, and provide suitable prompts and classification criteria.
A detector setup plan with target description, decision criteria, and actionable configuration guidance.
Submit this batch of production line images to a Groundlight detector, determine whether hard hat violations exist, and summarize the result for each image.
A per-image detection result list with conclusions, confidence information, and a summary-ready output.
Configure Groundlight alerts for warehouse camera feeds: trigger notifications immediately when an unattended forklift or restricted-area entry is detected.
Alert rule configuration guidance covering trigger conditions, notification methods, and monitoring scope.
Enable AI agents to analyze images with detection and embedding services.
Analyze local or remote images with vision LLMs and generate descriptions.
Analyze images with AI for OCR, scene description, detection, and comparison.
Connect LightRAG through MCP for unified retrieval and knowledge QA integration.
Analyze images through one MCP tool using any OpenAI-compatible endpoint.
Analyze images for AI-generation signs using multiple forensic inspection methods.