2.99/ 5.00
cautionBeta
Mar 3, 2026 at 7:28 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 4 checks

via Health checks

Response Latency25%5.0

p99: 152ms, p50: 144ms

via Health checks

Error Rate20%1.0

25.00% error rate (1/4)

via Health checks

Incident History20%3.0

3 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%5.0

via GitHub

Release Cadence25%1.0

via GitHub

Issue Response20%3.0

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%3.0

1,370 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%5.0

Docs site present with comprehensive README (>2000 bytes + examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

via GitHub

Changelog25%4.0

Releases exist but no CHANGELOG.md

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

mcp-unity is an MIT-licensed MCP server by CoderGamester that enables AI agent integration with the Unity3d game engine for game development workflows. The service shows adequate operational stability (100% uptime) and reasonable transparency, but lacks established publisher trust signals and has no measurable adoption data to validate production readiness. Limited publisher verification and zero tracked weekly downloads suggest this is an early-stage tool best suited for experimental use rather than critical game development pipelines.

Generated by Fabric AI · Mar 3, 2026 at 7:28 AM

Package Availability (30d)
100.00%
p50: 144ms · p99: 152ms
Avg Latency
115ms
averaged across 30d health checks
Weekly Downloads
no package registry data
Transparency & Compliance4/5 passed
Incidents & Alertslast 90 days
Mar 1Trust score decreased by 3.730.00
Feb 26Trust score increased by 1.213.73
Feb 24mcp-unity added to Trust Index2.52
Showing 3 of 3 events
Score History5 snapshots
5.003.752.501.250.00
Feb 24Mar 1
Data Sources6 indexed
Version History
VERSIONRELEASED
1.2.0Aug 23, 2025
1.1.2Jul 11, 2025
1.1.1Jun 12, 2025
1.1.0May 22, 2025
1.0.2Apr 29, 2025
1.0.1Apr 25, 2025
Showing 6 of 7 releases

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