MCP.Market

Photographi MCP server

by prasadabhishek·io.github.prasadabhishek/photographi-mcp·v0.2.6·5 stars

Visual Intelligence Command Center: A Local Computer Vision Engine for Photo Libraries

B75/100grade B
What users say
No reviews yet
Be the first
Safety scan
B75/100

full report

Adoption
New

5 stars

Reviews

Write one

Nobody has reviewed Photographi yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Photographi tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • photographi_analyze_folder

    Batch analyzes all images in a folder with high concurrency (4-8 images at once). Returns quality scores and judgements for each image. Default limit is 100 images per call. Use 'limit' and 'offset' for pagination. If 'nextOffset' is in the response, call again with that offset. Perfect for understanding the overall quality distribution of a shoot.

  • photographi_analyze_photo

    Analyzes a single photo for technical quality (sharpness, exposure, noise, etc.). Returns overall score, judgement, and per-metric breakdowns. Use this for detailed inspection of individual images. For batch analysis, use photographi_analyze_folder.

  • photographi_cull_photographs

    Culls low-quality images by moving them to a 'culled_photos' subfolder. Images ABOVE the threshold (default 0.4) stay in the original folder. Images BELOW the threshold are moved to culled_photos/. Processes 100 images per call by default. Use 'limit' and 'offset' for pagination. Mode options: 'move' (default), 'xmp' (sidecar tagging), or 'both'.

  • photographi_get_color_palette

    Extracts a representative color palette from a single image using K-Means clustering. Returns a list of hex color codes (e.g., ['#FF5733', '#33FF57', ...]). Default is 5 colors. Use this for design inspiration or color grading reference.

  • photographi_get_folder_palettes

    Extracts color palettes from multiple images in a folder. Processes 20 images per call by default. Use 'limit' and 'offset' for pagination. Returns a map of filename → color palette. Useful for building color-based galleries or moodboards.

  • photographi_get_scene_content

    Detects objects in a photo using YOLO (e.g., person, dog, car, etc.). Returns a simple list of object labels. Use this for quick scene indexing or content-based search. For full quality analysis with subject-aware metering, use photographi_analyze_photo.

  • photographi_rank_photographs

    Ranks photos by technical quality and returns the top_n best images. Uses high concurrency to process up to 100 images per call (default limit). Ideal for burst sequences or finding hero shots. Returns detailed metrics for each top image. For full folder analysis, use photographi_analyze_folder instead.

  • photographi_threshold_cull

    Binary threshold culling: moves images below min_confidence (default 0.6) to a 'rejects' subfolder. Images ABOVE the threshold stay in the original folder. Similar to photographi_cull_photographs, but uses a higher default threshold and 'rejects/' folder name for stricter filtering. Processes 100 images per call. Mode options: 'move', 'xmp', or 'both'.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan3 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 225 days ago4/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 75/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Photographi compares

Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
75/100
higher than 45% of 1,337 Media servers
Tools
8
the typical Media server has 7
Tools that change things
0%
typical: 4%. Fewer write tools means less an agent can break
GitHub stars
5
more than 82% of 715 Media servers

What its tools let an agent do: 8 read

Install Photographi in Claude Code, Cursor or VS Code

claude mcp add photographi-mcp -- uvx photographi-mcp
Add to Cursor

Photographi: common questions

Is Photographi MCP server safe?
Mostly: it is graded B (75/100). Read the Photographi safety report
How do I install Photographi?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Photographi need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Photographi maintained?
The last commit was 261 days ago (2026-02-16). The latest release is v0.2.6.
What can I use instead of Photographi?
Servers from other publishers that do the same job: Codesign MCP server, three.ws Vision MCP server and Raven MCP server.
How does Photographi compare with other Media MCP servers?
safety score 75/100 (higher than 45% of 1,337 Media servers); tools 8 (the typical Media server has 7); tools that change things 0% (typical: 4%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Photographi

Same job from other publishers: the closest match first, then the best rated.

  • Codesign
    Local design engine for AI agents: create, edit and export real, editable designs.
    A
  • three.ws Vision
    Image understanding for AI agents — analyze and describe any image via the three.ws pipeline.
    A
  • Raven
    Design intelligence for coding agents: audits, design systems, and a taste profile agents consult.
    B
  • Wellness Nourish
    Local-first nutrition MCP for AI agents: food, barcode, photo, intake, hydration, goals.
    A
  • YouTube Research MCP
    Citation-ready YouTube transcript research and optional channel intelligence for AI agents.
    B