What API key is required and how to get it?
You need a DINO-X API key, which can be obtained from the DINO-X Platform. A free quota is available for new users.
@IDEA-Research
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"dinox-mcp": {
"command": "npx",
"args": [
"-y",
"@deepdataspace/dinox-mcp"
],
"env": {
"DINOX_API_KEY": "Get free api key from https://cloud.deepdataspace.com/request_api",
"IMAGE_STORAGE_DIRECTORY": "/path/to/your/image/directory"
}
}
}
}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.
Analyze an image to detect all identifiable objects, returning the category, count, coordinate positions and detailed descriptions for each object.
Detects 17 keypoints for each person in an image, supporting body posture and movement analysis.
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.
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.
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.
You need a DINO-X API key, which can be obtained from the DINO-X Platform. A free quota is available for new users.
Supported image formats are jpg, jpeg, png, and webp. Images can be provided as remote URLs (starting with `https://`) or local file paths (starting with `file://`).
The server requires Node.js (LTS recommended) and an MCP client such as Cursor, WindSurf, Trae, or Cherry Studio.
By default, annotated images are saved to `/tmp/dinox-mcp` on macOS/Linux or `%TEMP%\dinox-mcp` on Windows. You can customize this path with the `IMAGE_STORAGE_DIRECTORY` environment variable.
Usage limits and pricing are managed by the DINO-X API. Please refer to the DINO-X Platform API documentation for details.

Drive Veltake Studio from any AI agent: create film and ad projects, have the Studio agent build scenes on the canvas, price and start renders, export edited cuts, and make single images, video, speech and music in one c
Continuing education rules for US financial advisors (CFP, CFA, IWI, IAR by state, FINRA, American College) with official sources and verified dates, plus firm-level data, national and state rankings and market stats on

One workspace of tools for Claude and ChatGPT. Connect apps, generate video, music, and ads, and build new tools on demand. Generate and publish ad creative directly from your assistant.

Transcribe YouTube videos, podcasts, meetings and media links into speaker-labelled, timestamped transcripts, then search who said what, ask questions answered with timestamped citations, pull chapters and paste-ready ti
Connect Claude, ChatGPT, and other AI assistants to your social media content, reviews, and UGC aggregated via EmbedSocial.
コメント