io.github.not0lucky/tubescout
NPM · TUBESCOUT
YouTube as a research engine: keyless search, video intel, resilient transcripts, demand signals.
Available components
Last scanned (4 hours ago)
Scores higher than 72% of npm servers
Category Search and Retrieval
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 96 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 69 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability80
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 564 tokens (~94/item across 6 items; 6 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management77
- Stability observed for 23 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 −3
- Stability: pass → 0.77 functional
- 26 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 25 Oct 26 0
- Security disclosure: fail → unverified ▼ functional
- 24 Oct 26 +1
- Stability: 0.97 → pass security
- 23 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 22 Oct 26 −1
- Stability: pass → 0.93 functional
- 20 Oct 26 0
- Security disclosure: fail → unverified ▼ functional
- 16 Oct 26 +1
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/tubescout@0.1.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_channel_videos Scan a channel ~76
Channel metadata (name, subscribers, description) plus its recent uploads with views — enough to read a channel's strategy, cadence, and what performs.
| Name | Type | Req | Description |
|---|---|---|---|
| channel | string | yes | Channel ID (UC…), @handle, or channel URL |
| maxVideos | integer | – | How many recent videos to return (default 20) |
No output schema declared.
No examples provided.
get_search_suggestions Get YouTube search suggestions ~75
YouTube's autocomplete for a seed term — a direct read on real search demand. Use for keyword research: seed a niche term, get what people actually type. Chain suggestions of suggestions to map a topic space.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | Seed term, e.g. 'stamp identifier' or 'n8n' |
No output schema declared.
No examples provided.
get_transcript Get video transcript ~119
Fetch a video's transcript as clean plain text. Resilient: tries InnerTube, then the timedtext caption track, then local yt-dlp if installed. Long transcripts are chunked — check totalChars and call again with offsetChars to continue.
| Name | Type | Req | Description |
|---|---|---|---|
| language | string | – | Preferred caption language code (default 'en') |
| maxChars | integer | – | Chunk size (default 60000) |
| offsetChars | integer | – | Character offset to resume a chunked transcript |
| video | string | yes | Video ID or any YouTube URL |
No output schema declared.
No examples provided.
get_transcripts Get transcripts for multiple videos ~86
Batch transcript fetch (max 10 videos, 3 at a time). Per-video failures don't kill the batch — failed entries carry an error field. Each transcript is truncated to fit; use get_transcript with offsetChars for full text of long ones.
| Name | Type | Req | Description |
|---|---|---|---|
| language | string | – | Preferred caption language code (default 'en') |
| videos | array | yes | Video IDs or URLs |
No output schema declared.
No examples provided.
get_video Get video intel ~77
Full metadata + engagement for one video: title, channel, publish date, views, likes, likesPer1kViews (resonance signal, typical range 10-50), category, keywords, description, hasCaptions.
| Name | Type | Req | Description |
|---|---|---|---|
| video | string | yes | Video ID or any YouTube URL (watch, youtu.be, shorts) |
No output schema declared.
No examples provided.
search_videos Search YouTube videos ~131
Search YouTube for videos (no API key). Returns id, title, channel, published, views, duration, snippet per hit. Use filters to narrow: uploadDate for recency, sortBy view_count to find what performs.
| Name | Type | Req | Description |
|---|---|---|---|
| duration | string | – | short <4min, medium 4-20min, long >20min |
| maxResults | integer | – | Max hits to return (default 15) |
| query | string | yes | Search query |
| sortBy | string | – | Result ordering (default relevance) |
| uploadDate | string | – | Only videos uploaded within this window |
No output schema declared.
No examples provided.
How do I install the io.github.not0lucky/tubescout MCP server?
io.github.not0lucky/tubescout runs locally as an npm package, launched with npx -y tubescout. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · tubescout
claude mcp add not0lucky-tubescout -- npx -y tubescout
What is the io.github.not0lucky/tubescout MCP server?
io.github.not0lucky/tubescout is an MCP server listed in the public MCP registry as io.github.not0lucky/tubescout. YouTube as a research engine: keyless search, video intel, resilient transcripts, demand signals. This page covers its npm package (tubescout).
Is the io.github.not0lucky/tubescout MCP server safe to use?
io.github.not0lucky/tubescout scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.not0lucky/tubescout MCP server expose?
io.github.not0lucky/tubescout exposes 6 tools: search_videos, get_video, get_transcript, get_transcripts, get_channel_videos, get_search_suggestions. Their descriptions and schemas cost roughly 564 tokens of context every time the server is loaded.
Is the io.github.not0lucky/tubescout MCP server still maintained?
io.github.not0lucky/tubescout is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.not0lucky/tubescout MCP server under?
io.github.not0lucky/tubescout declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.