A
licenseA
qualityA
maintenanceEnables text-only AI coding agents to analyze images and videos via vision-capable models (Gemini, Grok, OpenRouter), returning text descriptions for reasoning.
2
15 npm
MIT
deepseek-vision-mcp
by DIV7NE
Related Servers
Alternatives to deepseek-vision-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceGives text-only coding agents the ability to 'see' images, videos, and screenshots by routing them to a vision model and returning structured text.815 npm1MIT
- AlicenseAqualityAmaintenanceEnables text-only coding agents to analyze local images using a dedicated vision provider, returning markdown and structured JSON evidence for screenshots, diagrams, UI mockups, and error captures.1190 npm10MIT
- AlicenseNot gradedqualityCmaintenanceProvides structured visual analysis tools for coding agents, enabling UI analysis, screenshot comparison, OCR, and crop-based refinement through VLM.MIT
- AlicenseAqualityAmaintenanceGives text-only LLM coding agents vision by routing images to a multimodal model and returning detailed textual descriptions. Supports local files, URLs, clipboard, base64, raw bytes, and multiple providers like OpenAI, Anthropic, and Gemini.182 npm13MIT
- FlicenseAqualityDmaintenanceProvides image understanding capabilities to coding models without vision support by automatically invoking a vision model and returning text descriptions, enabling seamless context-aware coding with images.12-
TDQS
A3.8/5.0
Scored across 2 tools
Disambiguation4/5
The two tools are closely related but have clearly differentiated purposes: describe_image is for general image description, while describe_ui is specifically for structured UI analysis. The description of describe_ui explicitly directs users to prefer it over describe_image for UI screenshots, reducing ambiguity.
Naming Consistency5/5
Both tools follow an identical verb_noun pattern: describe_image and describe_ui. The naming is perfectly consistent, with no mixing of conventions or vague verbs.
Tool Count3/5
With only 2 tools, the server feels slightly thin, but it serves a narrow purpose (vision description). It is on the borderline between 'too few' and 'acceptable', warranting a score of 3 rather than higher.
Completeness4/5
The tool surface covers general image description and a specialized UI analysis mode. Minor gaps exist, such as lack of explicit OCR or image comparison tools, but for the apparent scope of a vision description server, the coverage is reasonably complete.
Maintenance
ActivitySlowing
ResponsivenessNo issues