Phototology MCP server
com.phototology/mcp·v2.0.0·1 starsPersistent memory for visual intelligence. A photo registry: analyze once, look up free after that.
1 stars44 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Phototology tools (7, 1 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
analyze_batchanalyze_photoenrich_photoget_creditslist_lenseslookup_photopurchase_creditswrite action
Public scan report
scanner v0.1.10 · 2026-10-28 · same rubric, same numbers if you re-run it
- Code scan53 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 qualitystatic API keys via environment variables6/15
- Maintenancelast push 10 days ago15/15
- Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10
How Phototology compares
Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 80/100
- higher than 62% of 1,337 Media servers
- Tools
- 7
- the typical Media server has 7
- Tools that change things
- 14%
- typical: 4%. Fewer write tools means less an agent can break
- GitHub stars
- 1
- more than 55% of 715 Media servers
- Downloads a week
- 44
- more than 30% of 365 Media servers with a package
What its tools let an agent do: 6 read · 1 change
Install Phototology in Claude Code, Cursor or VS Code
Runs npx -y @phototology/mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add mcp -- npx -y @phototology/mcp
What the publisher says
From the Phototology repository's README, as published. We do not edit it. Read it on GitHub
Phototology
Persistent memory for visual intelligence.
phototology.com · npm scope: @phototology
Phototology is a visual-intelligence platform that analyzes a photo once and remembers the result forever, keyed by perceptual hash. Re-running any analysis on the same image — by any client, on any future day — returns the cached structured result for free.
This repository is the public source for the three npm packages that surround the platform. The Phototology API itself runs as a hosted service at api.phototology.com.
Packages
Each package has its own README and CHANGELOG in its directory.
Quick start
Use the MCP in Claude Code, Cursor, or VS Code (no API key needed for the test sandbox):
npx -y @phototology/mcpFor a real API key, sign up at phototology.com.
Use the SDK programmatically:
npm install @phototology/sdkimport { PhototologyClient } from '@phototology/sdk';
const client = new PhototologyClient({ apiKey: process.env.PHOTOTOLOGY_API_KEY });
const result = await client.analyze({
imageUrl: 'https://example.com/photo.jpg',
lenses: ['dating', 'people', 'location'],
});
console.log(result);How it's built
This repo is a public mirror of the relevant subdirectories from a private monorepo. Source changes flow one-way: monorepo → here. Issues and pull requests on the public packages are welcomed; the maintainer will sync fixes back to the monorepo.
The monorepo uses pnpm workspaces, TypeScript, jest (MCP) / vitest (SDK has light coverage), and ships through a sync script (scripts/sync-phototology-public.sh in the private repo).
License
MIT — see LICENSE. Each package also carries its own copy of the MIT license in its directory.
Nothing above is checked by us. What we check is on the safety report.
Phototology: common questions
- Is Phototology MCP server safe?
- Mostly: it is graded B (80/100). Read the Phototology safety report
- How do I install Phototology?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Phototology need an API key?
- Yes. The registry entry asks for
PHOTOTOLOGY_API_KEY. - Is Phototology maintained?
- The last commit was 17 days ago (2026-10-18). The latest release is v2.0.0.
- What can I use instead of Phototology?
- Servers from other publishers that do the same job: Audio MCP server, three.ws Vision MCP server and Raven MCP server.
- How does Phototology compare with other Media MCP servers?
- safety score 80/100 (higher than 62% of 1,337 Media servers); tools 7 (the typical Media server has 7); tools that change things 14% (typical: 4%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Phototology
Same job from other publishers: the closest match first, then the best rated.
- AudioEdit, analyze and convert audio: loudness, spec checks, denoise, EQ, cuts, BPM, key. No ffmpeg.not reviewedEstablishedA
- three.ws VisionImage understanding for AI agents — analyze and describe any image via the three.ws pipeline.not reviewedEstablishedA
RavenDesign intelligence for coding agents: audits, design systems, and a taste profile agents consult.not reviewedGrowingB- Wellness NourishLocal-first nutrition MCP for AI agents: food, barcode, photo, intake, hydration, goals.not reviewedGrowingA
- PolymationAuthor Rive; convert Lottie, After Effects, Animate and Figma into it; animate AI and pixel art.not reviewedGrowingC