youtube_mcp

Name: youtube_mcp
Rating: 2.42 (1 reviews)
Author: format37

#4356 · by format37

agent tool-use multi-step

2.42/ 5.00

cautionBeta

Mar 4, 2026 at 4:56 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—

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Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 2 checks

via Health checks

Response Latency25%5.0

p99: 146ms, p50: 146ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/2)

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%1.0

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%1.0

29 stars

via GitHub

Dependent Packagesno data—

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Growth Trendno data—

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License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%2.0

Public repo but no license detected

via GitHub

Documentation25%3.0

Adequate README (>500 bytes)

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—

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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

youtube_mcp is an MCP server by format37 (license unknown) that transcribes YouTube videos using yt-dlp and OpenAI Whisper-1, splitting long transcripts into chunks. The service shows zero adoption (no downloads), minimal publisher trust signals, and weak maintenance activity despite stable uptime. Requires manual cookie extraction and OpenAI API credentials, which adds operational complexity and potential privacy considerations for users handling YouTube authentication tokens.

Generated by Fabric AI · Mar 4, 2026 at 4:56 AM

Package Availability (30d)

100.00%

p50: 146ms · p99: 146ms

Avg Latency

141ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Transparency & Compliance2/5 passed

✓