A
licenseA
qualityB
maintenanceA lightweight MCP server that enables text agents to analyze images and videos using OpenAI-compatible vision models, with tools for image analysis and video frame extraction.
2
8 npm
MIT
Codex Vision MCP
by darkamenosa
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TDQS
A3.9/5.0
Scored across 8 tools
Disambiguation4/5
Tools target distinct visual domains (charts, UI, diagrams, errors) with clear descriptions. The fallback analyze_image could overlap but is explicitly a catch-all. Only extract_text_from_screenshot and diagnose_error_screenshot have slight boundary ambiguity, but usage notes clarify.
Naming Consistency4/5
All names use lowercase snake_case and a verb_noun or adjective_noun pattern. Some verbs vary (analyze, diagnose, extract, ui_diff_check, ui_to_artifact, understand), but the structure is predictable and readable.
Tool Count5/5
8 tools is well-scoped for a vision analysis server. Each tool addresses a specific common use case without overcrowding. The count is appropriate for the domain.
Completeness4/5
The tool set covers major vision tasks: general image/video analysis, UI comparison, error screenshots, text extraction, diagram understanding, and artifact generation. Minor gaps like object detection exist, but the set is comprehensive for typical developer workflows.
Maintenance
ActivityInactive
ResponsivenessNo issues