Visual Intelligence Command Center: A Local Computer Vision Engine for Photo Libraries
{
"mcpServers": {
"io-github-prasadabhishek-photographi-mcp": {
"args": [
"photographi-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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Visual Intelligence Command Center: A Local Computer Vision Engine for Photo Libraries
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No known CVEs for photographi-mcp.
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Last commit 52 days ago. 3 stars.
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Transport: stdio, sse, http. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
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Fast, private, and grounded technical photo analysis for AI applications.
photographi-mcp is an MCP server that enables AI models and LLM-powered tools to perform technical analysis on local photo libraries. It runs computer vision models directly on your hardware (powered by photo-quality-analyzer-core) to evaluate sharpness, focus, and exposure—enabling capabilities like automated culling, burst ranking, and metadata indexing without requiring a cloud upload.
[!NOTE] Technical vs. Artistic: This tool is strictly objective. It evaluates photos based on technical metrics and computer vision (sharpness, exposure, noise, etc.). It does not understand artistic intent, aesthetics, or "vibe." A blurry, underexposed photo may be an artistic masterpiece, but
photographiwill correctly flag it as technically poor.
For the science and math behind it, see the Technical Documentation.
Here are real examples from actual photo analysis:

{
"overallConfidence": 0.89,
"judgement": "Excellent",
"keyMetrics": {
"sharpness": 0.94,
"exposure": 0.87,
"composition": 0.85
}
}
Verdict: Tack sharp on subject, well exposed, strong composition.

{
"overallConfidence": 0.20,
"judgement": "Very Poor",
"keyMetrics": {
"sharpness": 0.30,
"focus": 0.07,
"exposure": 0.0
}
}
Verdict: Missed focus on subject, severe underexposure/black clipping, and excessive headroom.
photographi-mcp enables AI models to perform deep technical audits through these standardized tools:
| Tool | AI "Intent" Example | Action / Insight Provided |
| :--- | :--- | :--- |
| analyze_photo | "Is this dog photo sharp enough for a print?" | Full technical audit of sharpness, focus, and lighting. |
| analyze_folder | "How's the overall quality of my 'Vacation' folder?" | Statistical summary identifying the best/worst image groups. |
| rank_photographs | "Find the best shot in this burst of the cake." | Ranks files by technical perfection to find the "hero" frame. |
| cull_photographs | "Move all the blurry photos to a junk folder." | Automatically cleans up failed shots into a subfolder. |
| threshold_cull | "Strictly separate keepers using a score of 0.7." | Binary sorting to isolate professional-grade assets. |
| get_color_palette | "What colors are in this sunset for my website?" | Extracts hexadecimal codes for dominant image aesthetics. |
| get_folder_palettes | "Generate a moodboard from my 'Forest' shoot." | Batch color extraction for an entire folder. |
| get_scene_content | "Which photos contain a 'cat' or 'mountain'?" | Rapid content indexi