sap_2000_api_python_mcp2

Name: sap_2000_api_python_mcp2
Rating: 1.85 (1 reviews)
Author: chkim-su

#5583 · by chkim-su

agent tool-use multi-step

1.85/ 5.00

cautionBeta

Mar 5, 2026 at 7:59 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 3 sub-signals with data

Known CVEs100%5.0

No known CVEs

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chainno data—

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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: 60ms, p50: 56ms

via Health checks

Error Rate20%1.0

100.00% error rate (4/4)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

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

0 of 4 sub-signals with data

Commit Recencyno data—

Weight redistributed to sub-signals with data

Release Cadenceno data—

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Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

0 of 4 sub-signals with data

Download Volumeno data—

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GitHub Starsno data—

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Dependent Packagesno data—

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Growth Trendno data—

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License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

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Documentationno data—

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Security Policyno data—

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Changelogno data—

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Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%0.0

via Fabric index

Org Maturity30%0.0

via GitHub

Community Standing20%0.0

via GitHub

Cross-Platform20%0.0

via Registry scan

Limited data available — 3 of 6 signals pending evaluation

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

The sap_2000_api_python_mcp2 agent service by chkim-su operates with unknown licensing and maintains 100% uptime, but lacks critical transparency indicators including documentation, repository access, and maintainer information. With zero scores across vulnerability scanning, maintenance activity, adoption metrics, and publisher trust signals, this service cannot be adequately verified for production use despite operational stability.

Generated by Fabric AI · Mar 3, 2026 at 7:30 AM

Package Availability (30d)

100.00%

p50: 56ms · p99: 60ms

Avg Latency

44ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Incidents & Alertslast 90 days

Mar 5Trust score decreased by 1.141.85