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imagesorcery-mcp

#3121 · by sunriseapps
agenttool-usemulti-step
2.89/ 5.00
cautionBeta
Mar 3, 2026 at 7:21 AM6 signals analysedNo manual reviews · fully automated
Trust Signal Breakdown
medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

0 of 3 sub-signals with data

Known CVEsno data—

Weight redistributed to sub-signals with data

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chainno data—

Weight redistributed to sub-signals with data

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 3 checks

via Health checks

Response Latency25%4.0

p99: 226ms, p50: 178ms

via Health checks

Error Rate20%1.0

33.33% error rate (1/3)

via Health checks

Incident History20%3.0

2 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

4 of 4 sub-signals with data

Commit Recency30%2.0

via GitHub

Release Cadence25%2.0

via GitHub

Issue Response20%5.0

via GitHub

CI/CD Presence25%2.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volumeno data—

Weight redistributed to sub-signals with data

GitHub Stars100%2.0

291 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (mit)

via GitHub

Documentation25%4.0

Good README (>2000 bytes with examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

via GitHub

Changelog25%2.0

No CHANGELOG.md and no releases found

via GitHub

Track record, org maturity, community standing

0 of 4 sub-signals with data

Track Recordno data—

Weight redistributed to sub-signals with data

Org Maturityno data—

Weight redistributed to sub-signals with data

Community Standingno data—

Weight redistributed to sub-signals with data

Cross-Platformno data—

Weight redistributed to sub-signals with data

About this score
Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)
Trust AssessmentAI Assessment

ComputerVision-based 🪄 sorcery of image recognition and editing tools for AI assistants.

Package Availability (30d)
100.00%
p50: 178ms · p99: 226ms
Avg Latency
140ms
averaged across 30d health checks
Weekly Downloads
—
no package registry data
Transparency & Compliance3/5 passed
✓
Open Source CodePublic repository on GitHub
✓
OSI LicenseLicensed under MIT
✓
DocumentationREADME with examples/code blocks
✗
SECURITY.mdNo security policy found
✗
API DocumentationNo API documentation detected
Incidents & Alertslast 90 days
Feb 26Trust score increased by 0.563.08
Feb 24imagesorcery-mcp added to Trust Index2.52
Showing 2 of 2 events
Score History3 snapshots
5.003.752.501.250.00
Feb 24Mar 2
Data Sources6 indexed
◎
OSV.devCVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub APICommits, issues, releases, repo metadata, transparency checks
⬡
npm RegistryPackage metadata, weekly downloads, maintainers, dependencies
⬡
PyPIPackage metadata, weekly downloads, dependency tree
△
HTTP Health Checks15-min pings · uptime, latency, status monitoring
◎
PyPI StatsDownload statistics and trends

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