Youtube Studio (PyPI) MCP Server
youtube-studio-mcp
PyPI
v0.3.0
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
A comprehensive MCP server for YouTube Data API, Analytics API, and Reporting API
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 5 = 95. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 43
Each tool and what it can reach — statically extracted from the published source.
youtube_list_commentsingests untrusted inputyoutube_reporting_downloadingests untrusted inputyoutube_add_to_playlistno sensitive capabilityyoutube_analytics_content_type_breakdownno sensitive capabilityyoutube_analytics_dailyno sensitive capabilityyoutube_analytics_day_of_weekno sensitive capabilityyoutube_analytics_demographicsno sensitive capabilityyoutube_analytics_geographyno sensitive capabilityyoutube_analytics_overviewno sensitive capabilityyoutube_analytics_retentionno sensitive capability
Show 33 more tools ↓
youtube_analytics_revenueno sensitive capabilityyoutube_analytics_revenue_by_videono sensitive capabilityyoutube_analytics_top_shortsno sensitive capabilityyoutube_analytics_top_videosno sensitive capabilityyoutube_analytics_traffic_sourcesno sensitive capabilityyoutube_analytics_video_detailno sensitive capabilityyoutube_authno sensitive capabilityyoutube_auth_statusno sensitive capabilityyoutube_create_playlistno sensitive capabilityyoutube_delete_commentno sensitive capabilityyoutube_delete_playlistno sensitive capabilityyoutube_delete_videono sensitive capabilityyoutube_get_categoriesno sensitive capabilityyoutube_get_channelno sensitive capabilityyoutube_get_transcriptno sensitive capabilityyoutube_get_videono sensitive capabilityyoutube_list_captionsno sensitive capabilityyoutube_list_playlistsno sensitive capabilityyoutube_list_videosno sensitive capabilityyoutube_post_commentno sensitive capabilityyoutube_remove_from_playlistno sensitive capabilityyoutube_reply_to_commentno sensitive capabilityyoutube_reporting_create_jobno sensitive capabilityyoutube_reporting_list_jobsno sensitive capabilityyoutube_reporting_list_reportsno sensitive capabilityyoutube_reporting_list_typesno sensitive capabilityyoutube_searchno sensitive capabilityyoutube_search_suggestionsno sensitive capabilityyoutube_set_thumbnailno sensitive capabilityyoutube_trendingno sensitive capabilityyoutube_update_playlistno sensitive capabilityyoutube_update_videono sensitive capabilityyoutube_upload_videono sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (43 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 2
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.3.0 latest |
A 95/100 | 0 | 1.13.0 | 2026-09-04 |
v0.1.0 |
A 95/100 | 0 | 1.13.0 | 2026-08-25 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan youtube-studio-mcp --online --registry pypiOther implementations of Youtube Studio 1
Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →
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