Mar 20, 2026 at 6:04 AM 6 signals analysed No manual reviews · fully automatedTrust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 4.9 CVEs, dependency health, and supply chain integrity
3 of 3 sub-signals with data
Known CVEs 40% 5.0
No known CVEs
via OSV.dev
Dependency Health 30% 5.0
2 dependencies (minimal)
via npm / PyPI
Supply Chain 30% 4.8
5 transitive CVEs found (penalty: -0.25)
via npm provenance
Operational Reliability ×0.15 4.5 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 3 checks
via Health checks
Response Latency 25% 4.0
p99: 334ms, p50: 202ms
via Health checks
Error Rate 20% 5.0
0.00% error rate (0/3)
via Health checks
Incident History 20% 4.0
1 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 4.1 Commit recency, release cadence, issue response, CI/CD
3 of 4 sub-signals with data
Commit Recency 37% 5.0
via GitHub
Release Cadence 31% 2.0
via GitHub
Issue Response no data —
Weight redistributed to sub-signals with data
CI/CD Presence 31% 5.0
via GitHub Actions
Adoption ×0.15 2.8 Downloads, stars, dependents, and growth trajectory
3 of 4 sub-signals with data
Download Volume 43% 3.5
39,138 weekly downloads
via npm / PyPI
GitHub Stars 36% 3.0
1,320 stars
via GitHub
Dependent Packages no data —
Weight redistributed to sub-signals with data
Growth Trend 21% 1.0
-31.1% week-over-week
via npm
Transparency ×0.15 4.0 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 5.0
Public repo with OSI-approved license (mit)
via GitHub
Documentation 25% 4.0
Good README (>2000 bytes with examples)
via GitHub
Security Policy 20% 5.0
SECURITY.md present
via GitHub
Changelog 25% 2.0
No CHANGELOG.md and no releases found
via GitHub
Publisher Trust ×0.15 4.3 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 4.0
Internal: 4.0 (89 services), External: 3.5 (2180 followers, 7529 stars)
via Fabric index
Org Maturity 30% 5.0
User account, 10.7 years old
via GitHub
Community Standing 20% 5.0
161 public repositories
via GitHub
Cross-Platform 20% 3.0
Present on 2 platform(s): github, npm
via Registry scan
About this scoreScored across 23 sub-signals in 6 dimensions Scoring engine v1 (beta) — actively being expanded Phase 1: Core sub-signal architecture (live) Phase 2: Permission scope & expanded collection (in progress)
Trust Assessment AI Assessment
@stripe/mcp is a command-line tool published on npm under MIT license by the Stripe organization (via GitHub Actions), providing Model Context Protocol integration for Stripe APIs with minimal dependencies (colors and @modelcontextprotocol/sdk). The package shows clean security posture with no CVEs and 100% operational uptime, though its relatively modest adoption (39K weekly downloads) suggests it is still early in its lifecycle. Despite 63 listed maintainers (likely reflecting Stripe's organizational access structure), the tool should be treated as a credential-handling interface requiring careful API key management and scoped permissions when integrating with Stripe services.
Generated by Fabric AI · Mar 4, 2026 at 4:19 AM
Package Availability (30d)
100.00%
p50: 202ms · p99: 334ms
Avg Latency
196ms
averaged across 30d health checks
Weekly Downloads
—
no package registry data
Incidents & Alerts last 90 days
Score History 90 snapshots
Feb 21 Mar 16
Supply Chain & Dependencies trust chain
Showing 2 of 2 dependencies
Data Sources 6 indexed
◎
OSV.dev CVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub API Commits, issues, releases, repo metadata, transparency checks
⬡
npm Registry Package metadata, weekly downloads, maintainers, dependencies
⬡
PyPI Package metadata, weekly downloads, dependency tree
△
HTTP Health Checks 15-min pings · uptime, latency, status monitoring
◎
PyPI Stats Download statistics and trends
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