A
licenseNot graded
qualityC
maintenanceA universal MCP server that adds image recognition and OCR capabilities to text-only LLMs like DeepSeek, supporting any OpenAI-compatible multimodal provider.
1
MIT
mcp-vision
by hahahahanb
Related Servers
Alternatives to mcp-vision
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceA lightweight MCP server that provides vision capabilities to text-only models like Claude Code and Codex by forwarding images to an OpenAI-compatible multimodal model, offering tools for image analysis and OCR.-
- AlicenseNot gradedqualityBmaintenanceAn MCP server for image recognition and OCR via OpenAI-compatible vision APIs, supporting local files, URLs, and data URLs. Enables natural language image description and text extraction.12 npm2MIT
- AlicenseAqualityBmaintenanceMCP server that analyzes images, reads code and ZIP archives, and provides text context for non-vision models.37 npm2MIT
- AlicenseAqualityCmaintenanceMCP server that provides visual question answering, image description, object detection, OCR, and image manipulation tools using OpenAI-compatible vision models.12154 npmGPL 2.0
- FlicenseAqualityCmaintenanceAn MCP server that adds visual understanding to text-only LLMs via image understanding, OCR, and image comparison tools, with multi-provider fallback and context-aware Focus Hint for precise descriptions.3-
TDQS
A3.8/5.0
Scored across 3 tools
Disambiguation4/5
Most tools are distinct: analyze_image handles general analysis, while ocr_extract and ocr_precise both do OCR but differ in precision and output structure. However, an agent might confuse ocr_extract with ocr_precise since both extract text.
Naming Consistency4/5
Two tools follow an 'ocr_' prefix pattern, while analyze_image uses a different verb_noun structure. The naming is mostly consistent within subgroups but lacks a unified pattern across all tools.
Tool Count4/5
3 tools is slightly thin for a 'vision' server, but covers core analysis and OCR functions. The count is appropriate for a focused utility, though more tools could be beneficial.
Completeness3/5
Basic image analysis and OCR are covered, but missing common vision tasks like object detection or image manipulation. The toolset feels minimal for general vision needs, leaving notable gaps.
Maintenance
ActivityInactive
ResponsivenessUnresponsive