DINO-X MCP Server
DINO-X MCP server from IDEA Research enabling AI agents to perform universal object detection and visual grounding — detecting any objects in images using open-vocabulary detection, grounding object descriptions to bounding boxes, and integrating DINO-X's state-of-the-art vision capabilities into agent-driven image analysis workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
HTTPS. Images sent externally (China infra). API key. Don't send private images.
⚡ Reliability
Best When
An agent needs high-quality open-vocabulary object detection — DINO-X can detect nearly any describable object in an image, beyond fixed category classifiers.
Avoid When
You need simple image classification or face recognition, or have real-time video requirements.
Use Cases
- • Detecting specific objects in images from computer vision agents
- • Visual grounding — locating described objects with bounding boxes from analysis agents
- • Open-vocabulary object detection for custom categories from ML agents
- • Image analysis for automated quality control from inspection agents
- • Building vision-language pipelines from multimodal agents
- • Detecting and counting objects in images from data extraction agents
Not For
- • Teams needing face recognition or identity-specific detection (privacy concerns)
- • Real-time video stream analysis (this is image-by-image detection)
- • Simple image classification without localization
Interface
Authentication
DINO-X API key required from deepdataspace.com. Registration required. Free tier available for research use.
Pricing
From IDEA Research (academic/commercial). Free tier for research. Official MCP from IDEA-Research org.
Agent Metadata
Known Gotchas
- ⚠ API key registration required on deepdataspace.com — Chinese platform
- ⚠ Images are sent to external API — privacy consideration for sensitive images
- ⚠ Detection latency is 1-5 seconds per image — plan for async workflows
- ⚠ From IDEA Research (China) — data processed on Chinese infrastructure
- ⚠ Free tier rate limits can be restrictive for batch processing
- ⚠ Official MCP from IDEA-Research GitHub org — well-maintained
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Scores are editorial opinions as of 2026-03-07.