A
licenseA
qualityC
maintenanceEnables any MCP-capable agent to perform vision tasks like describing images, answering questions, OCR, and comparing images using supported vision backends.
5
MIT
DeepSeek Vision MCP
by groxaxo
Related Servers
Alternatives to DeepSeek Vision MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceBridges a vision model to enable text-only models like DeepSeek to describe images, extract text, and compare images via MCP tools.542 npm9MIT
- AlicenseAqualityCmaintenanceGive MCP-compatible AI agents image analysis, metadata inspection, cropping, OCR, and image comparison through any OpenAI-compatible vision model.6MIT
- AlicenseNot gradedqualityCmaintenanceProvides multimodal vision MCP tools for image analysis, OCR, object detection, text-to-image generation, and image similarity, integrating OpenAI, Qwen, and Gemini.22 npm1MIT
- AlicenseAqualityCmaintenanceProvides image recognition capabilities to MCP clients by integrating with OpenAI-compatible vision models, supporting local images, URLs, multi-image comparison, and model listing.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables text-only LLMs to analyze images by bridging DeepSeek's web vision chat via MCP, supporting single/multiple image analysis, batch glob processing, and Windows screen capture for any MCP client.1MIT
TDQS
B3.4/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct visual task: custom analysis, faithful description, OCR, comparison, semantic localization, upload, listing, and deletion. The overlaps between analyze and describe are minor and clearly differentiated by purpose and usage notes.
Naming Consistency3/5
Most tools follow a vision_<verb> pattern (analyze, describe, compare, locate, upload), but vision_files_list and vision_files_delete reverse the noun-verb order, and vision_ocr is an abbreviation noun. The shared prefix provides some consistency, but the mixed conventions prevent a higher score.
Tool Count5/5
Eight tools is a well-scoped number for a vision MCP server, covering both image analysis and file lifecycle management without unnecessary bloat. Each tool serves a clear purpose.
Completeness5/5
The tool surface covers the major vision tasks (analysis, description, OCR, comparison, localization) and includes full file management via upload, list, and delete. There are no obvious dead ends; images are immutable so update/delete semantics are appropriately handled.
Maintenance
ActivityMaintained
ResponsivenessNo issues