youtube-mcp-tools
npm
v1.1.1
Published by fabioc-aloha — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
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 − 22 = 78. What the published surface and source actually contain:
| Points | What was found | Category |
|---|---|---|
| −22 | Hardcoded Google API key in server code MTC-SRC-008 | exfiltration |
2. Client adoption risk — 78 − 4 = 74. 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 |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
| ✓ | inspection depth (source) — how much of the target the scan could see |
Grade capped: 1 confirmed high finding → grade capped at C. A hard gate overrides the point total — no amount of clean surface buys back a confirmed catastrophe.
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.
A live-looking Google API key is hardcoded in `dist/youtube/transcript.js:14`. Secrets in source ship to everyone who installs the package and are a direct credential leak.
Evidence: Google API key: AIza…(redacted)
Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.
Location: server dist/youtube/transcript.js
In the server's implementation (`dist/intelligence/embeddings.js:132`): A hardcoded outbound call to a fixed external host inside server code is a classic exfiltration/telemetry channel — especially paired with reads of local data. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: fetch('https://api.openai.com/v1/embeddings'
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/intelligence/embeddings.js
In the server's implementation (`dist/youtube/transcript.js:74`): A hardcoded outbound call to a fixed external host inside server code is a classic exfiltration/telemetry channel — especially paired with reads of local data. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: fetch(`https://www.youtube.com/youtubei/v1/player?key=${this.innertubeKey}`
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/youtube/transcript.js
Each tool and what it can reach — statically extracted from the published source.
youtube_analyzeno sensitive capabilityyoutube_analyze_content_gapsno sensitive capabilityyoutube_analyze_watch_historyno sensitive capabilityyoutube_cache_statsno sensitive capabilityyoutube_categoriesno sensitive capabilityyoutube_channelno sensitive capabilityyoutube_channel_analyticsno sensitive capabilityyoutube_channel_popularno sensitive capabilityyoutube_channel_videosno sensitive capabilityyoutube_chunk_transcriptno sensitive capabilityyoutube_cluster_videosno sensitive capabilityyoutube_commentsno sensitive capabilityyoutube_compareno sensitive capabilityyoutube_compare_approachesno sensitive capabilityyoutube_embed_videono sensitive capabilityyoutube_extract_conceptsno sensitive capabilityyoutube_find_similarno sensitive capabilityyoutube_generate_flashcardsno sensitive capabilityyoutube_generate_learning_pathno sensitive capabilityyoutube_generate_quizno sensitive capabilityyoutube_get_chunkno sensitive capabilityyoutube_liveno sensitive capabilityyoutube_playlistno sensitive capabilityyoutube_preferencesno sensitive capabilityyoutube_relatedno sensitive capabilityyoutube_repurpose_contentno sensitive capabilityyoutube_researchno sensitive capabilityyoutube_searchno sensitive capabilityyoutube_search_date_rangeno sensitive capabilityyoutube_semantic_searchno sensitive capabilityyoutube_semantic_statsno sensitive capabilityyoutube_study_guideno sensitive capabilityyoutube_transcriptno sensitive capabilityyoutube_transcript_searchno sensitive capabilityyoutube_trendingno sensitive capabilityyoutube_video_detailsno sensitive capabilityyoutube_video_listno sensitive capabilityyoutube_video_summaryno sensitive capabilityScan 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 |
|---|---|---|---|---|
v1.1.1 latest |
C 74/100 | 3 | 1.8.0 | 2026-07-23 |
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.
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.
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