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musclesworked-mcp

#1728 · by csjoblom
2.99/ 5.00
cautionBeta
Score capped to 2.99 (raw score: 3.22) due to insufficient data in one or more signals. The composite is held at caution level until all signals can be fully evaluated.
Mar 5, 2026 at 8:07 AM6 signals analysedNo manual reviews · fully automated
Trust Signal Breakdown
high23 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

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 10 checks

via Health checks

Response Latency25%5.0

p99: 162ms, p50: 115ms

via Health checks

Error Rate20%1.0

30.00% error rate (3/10)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

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

3 of 4 sub-signals with data

Commit Recency37%4.0

via GitHub

Release Cadence31%2.0

via GitHub

Issue Responseno data

Weight redistributed to sub-signals with data

CI/CD Presence31%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%0.0

0 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

4 of 4 sub-signals with data

Track Record30%1.5

Internal: 1.0 (0 services), External: 1.5 (30 followers, 13 stars)

via Fabric index

Org Maturity30%5.0

User account, 13.2 years old

via GitHub

Community Standing20%4.0

96 public repositories

via GitHub

Cross-Platform20%1.0

Present on 1 platform(s): github

via Registry scan

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

Exercise-to-muscle mapping MCP server. Look up muscles worked by 856 exercises across 65 muscles and 14 muscle groups, analyze workouts for gaps, and find alternative exercises ranked by muscle overlap.

Package Availability (30d)
100.00%
p50: 115ms · p99: 162ms
Avg Latency
94ms
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 24musclesworked-mcp added to Trust Index3.58
Showing 1 of 1 events
Score History16 snapshots
5.003.752.501.250.00
Feb 24Mar 5
Data Sources6 indexed

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