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DINO-X Image Detection MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DINOX_API_KEYYesYour DINO-X API key from the DINO-X Platform (https://cloud.deepdataspace.com/request_api)

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
object-detection-by-text

Analyze an image based on a text prompt to identify and count specific objects, and return detailed descriptions of the objects and their 2D coordinates.

detect-all-objects

Analyze an image to detect all identifiable objects, returning the category, count, coordinate positions and detailed descriptions for each object.

detect-human-pose-keypoints

Detects 17 keypoints for each person in an image, supporting body posture and movement analysis.

visualize-detections

Visualize detection results by drawing bounding boxes and labels on the original image. Images are saved to the directory specified by IMAGE_STORAGE_DIRECTORY environment variable.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/IDEA-Research/DINO-X-MCP'

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