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PhotoS

PYPI · PHOTO-S-TOOLS

Batch photo processing: compress, convert, EXIF, rename, dedup, cull, galleries

Available components

+15 this week 89 Trust /100

Last scanned (12 hours ago)

Scores higher than 92% of PyPI servers

Category Design and Media

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 0 of 4 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to Dongwu259/photo_s). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 48 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability53
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 778 tokens (~70/item across 11 items; 11 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 11 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
What we tested

Checks we ran (16)

  • Malware scan
  • Known CVEs
  • Install scripts
  • Dependency health
  • Source repository
  • Provenance
  • License
  • Maintenance
  • Security disclosure
  • Schema quality
  • Stability
  • Tool coverage
  • Injection markers
  • Destructive annotations
  • Judged manipulation
  • MCP protocol

Does not apply to this package (2)

  • Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
  • Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.

The score does not measure everything. What the score does not measure →

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 4 Nov 26 +1
    • Security disclosure: unverified → pass ▲ functional
  • 3 Nov 26 −1
    • Security disclosure: pass → unverified ▼ functional
  • 2 Nov 26 +1
    • Stability: 0.97 → pass security
  • 1 Nov 26 −1
    • Stability: pass → 0.97 functional
  • 31 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 30 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
  • 26 Oct 26 −14
    • Malware scan: pass → unverified ▼ security
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed pypi/photo-s-tools@1.4.2

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo Dongwu259/photo_s
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/Dongwu259/photo_s/.github/workflows/publish.yml@refs/tags/v1.4.2
Rekor log index 2472665399
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:f18614811d1071353a798f20b25bcf87bf60aa567af50e4dbd46565af0b36a15

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend Known build tool setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Dependencies 4 packages
Packages resolved 4
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 11 exposed · ~761 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
contact_sheet ~75

Build a contact sheet (grid montage) from images; returns the output path and count.

NameTypeReqDescription
bgstring––
captionsboolean––
colsinteger––
outputstringyes–
pathsarrayyes–
recursiveboolean––
thumbinteger––

No output schema declared.

No examples provided.

cull ~77

Filter images by exposure and sharpness thresholds; returns per-file stats and a kept list.

NameTypeReqDescription
luminance_max–––
luminance_min–––
overexposed_max–––
pathsarrayyes–
recursiveboolean––
sharpness_min–––
underexposed_max–––

No output schema declared.

No examples provided.

dedup ~81

Find duplicate images by perceptual hash. action='report' lists groups; action='keep-sharpest' keeps the sharpest of a burst (deletion requires dry_run=False).

NameTypeReqDescription
actionstring––
dry_runboolean––
pathsarrayyes–
recursiveboolean––
thresholdinteger––

No output schema declared.

No examples provided.

exif ~87

Read/filter or write EXIF metadata (rating/keywords/camera/title/...). action='show' filters files; action='write' takes a per-path tag map.

NameTypeReqDescription
actionstring––
camera–––
keywords–––
paths–––
rating–––
rating_min–––
recursiveboolean––
tags–––

No output schema declared.

No examples provided.

gallery ~57

Generate an HTML gallery from images; returns the output directory and count.

NameTypeReqDescription
out_dirstringyes–
pathsarrayyes–
recursiveboolean––
thumbinteger––
titlestring––

No output schema declared.

No examples provided.

hash ~43

Generate or verify a SHA-256 checksum manifest (any file type).

NameTypeReqDescription
output–––
paths–––
recursiveboolean––
verify–––

No output schema declared.

No examples provided.

info ~21

Environment probe: version, supported formats, optional-feature and plugin status.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

plugin ~45

Manage official plugins: list installed/available, install, uninstall (shells to pip).

NameTypeReqDescription
actionstring––
dry_runboolean––
name–––

No output schema declared.

No examples provided.

preset ~57

Manage processing presets: list / save / load / delete. 'load' returns options JSON for 'process'.

NameTypeReqDescription
actionstringyes–
descriptionstring––
namestring––
optionsobject––

No output schema declared.

No examples provided.

process ~146

Batch process images: quality/format/resize/tone/exposure/denoise. Accepts files, directories or globs. Returns BatchResult JSON with per-file status.

NameTypeReqDescription
auto_straighten–––
denoise–––
dry_runboolean––
ev–––
jobs–––
log_curve–––
output_dir–––
output_format–––
pathsarrayyes–
quality–––
recursiveboolean––
resize–––
scale–––
strip_gps–––
suffix–––
target_size–––
wb_temp–––

No output schema declared.

No examples provided.

watermark ~72

Overlay a text or image watermark on images via the batch pipeline.

NameTypeReqDescription
imagestring––
opacityinteger––
output_dir–––
output_format–––
pathsarrayyes–
positionstring––
quality–––
textstring––

No output schema declared.

No examples provided.

Install

How do I install the PhotoS MCP server?

PhotoS runs locally as a PyPI package, launched with uvx --from 'photo-s-tools[mcp]' photo-s-tools mcp. The registry lists runner options for this package that are not in this command (they are not ones we reproduce, or they name another package). Check the registry entry before relying on it. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

pypi · photo-s-tools

# add to Claude Code
claude mcp add dongwu259-photo-s -- uvx --from 'photo-s-tools[mcp]' photo-s-tools mcp

The registry lists runner options for this package that are not in this command (they are not ones we reproduce, or they name another package). Check the registry entry before relying on it.

Common questions

What is the PhotoS MCP server?

PhotoS is an MCP server listed in the public MCP registry as io.github.Dongwu259/photo-s. Batch photo processing: compress, convert, EXIF, rename, dedup, cull, galleries. This page covers its PyPI package (photo-s-tools).

Is the PhotoS MCP server safe to use?

PhotoS scores 89 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the PhotoS MCP server expose?

PhotoS exposes 11 tools: process, info, exif, dedup, cull, and 6 more. Their descriptions and schemas cost roughly 761 tokens of context every time the server is loaded.

Is the PhotoS MCP server still maintained?

PhotoS is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the PhotoS MCP server under?

PhotoS declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

What did VerifyMCP test on the PhotoS MCP server?

VerifyMCP ran 16 checks on PhotoS, covering Malware scan, Known CVEs, Install scripts, Dependency health and 12 more. Endpoint Security and Transport & Reachability do not apply to a PyPI package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.