Dino X 图像检测 (image Detection) MCP Server

What is Dino X 图像检测 (image Detection)?

Dino X 图像检测 (image Detection) is an MCP server that enables large language models to perform fine-grained object detection and image understanding. It is powered by the DINO-X and Grounding DINO 1.6 API, providing precise localization, object counting, attribute reasoning, and structured visual outputs. This server is designed for developers and AI assistants who need to integrate structured visual analysis into natural language workflows.

How to use Dino X 图像检测 (image Detection)?

To use the server, install Node.js and configure an MCP client (e.g., Cursor, WindSurf, Cherry Studio) with the server’s NPM package or a local build. Set the required environment variable DINOX_API_KEY (obtain from the DINO-X Platform) and optionally IMAGE_STORAGE_DIRECTORY. After restarting the client, the server exposes four tools: detect-all-objects, object-detection-by-text, detect-human-pose-keypoints, and visualize-detections.

Key features of Dino X 图像检测 (image Detection)

• Fine-grained image understanding with full-scene recognition.
• Targeted object detection based on natural language prompts.
• Object counting, localization, and bounding box output.
• Human pose keypoint detection (17 keypoints per person).
• Visualizes detection results by drawing annotations on images.

Use cases of Dino X 图像检测 (image Detection)

• Detection & localization of objects (e.g., fire areas in a forest).
• Counting objects in warehouse or inventory images.
• Finding specific features (e.g., all red cars in an image).
• Attribute reasoning (e.g., describing the clothing of the tallest person).
• Full scene detection with semantic understanding (e.g., identifying fruits high in vitamin C).