io.github.zlatkoc/youtube-summarize
PYPI · YOUTUBE-SUMMARIZE · SCANNED SEP 20
MCP server that fetches YouTube video transcripts and optionally summarizes them
Available components
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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 2 of 36 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
- 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
- License check failed: the license (MIT License) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 51 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 913 tokens (~152/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
- Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.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 current MCP spec version (2026-07-28).Pass
How do I install the io.github.zlatkoc/youtube-summarize MCP server?
io.github.zlatkoc/youtube-summarize runs locally as a PyPI package, launched with uvx youtube-summarize. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · youtube-summarize
claude mcp add zlatkoc-youtube-summarize -- uvx youtube-summarize
{
"mcpServers": {
"zlatkoc-youtube-summarize": {
"command": "uvx",
"args": [
"youtube-summarize"
]
}
}
} {
"servers": {
"zlatkoc-youtube-summarize": {
"command": "uvx",
"args": [
"youtube-summarize"
]
}
}
} codex mcp add zlatkoc-youtube-summarize -- uvx youtube-summarize
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"zlatkoc-youtube-summarize": {
"type": "local",
"command": [
"uvx",
"youtube-summarize"
],
"enabled": true
}
}
} openclaw mcp add zlatkoc-youtube-summarize --command uvx --arg youtube-summarize
mcp_servers:
zlatkoc-youtube-summarize:
command: "uvx"
args: ["youtube-summarize"] {
"McpServers": {
"zlatkoc-youtube-summarize": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"youtube-summarize"
]
}
}
} assistant mcp add zlatkoc-youtube-summarize -t stdio -c uvx -a youtube-summarize
{
"mcpServers": {
"zlatkoc-youtube-summarize": {
"command": "uvx",
"args": [
"youtube-summarize"
]
}
}
} 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.
- 20 Sept 26 −3
- Stability: pass → 0.80 functional
- 19 Sept 26 0
- Stability: 0.97 → pass security
- 18 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 16 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 14 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 13 Sept 26 −3
- Stability: pass → 0.80 functional
- 12 Sept 26 0
- Stability: 0.97 → pass security
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
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 20 Sept 2026 · Analysed pypi/youtube-summarize@0.6.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 36 packages
| Packages resolved | 36 |
|---|---|
| Stale | 1 |
| No linked repository | 1 |
| 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_transcript ~213
Fetch a YouTube video's transcript. Args: url: YouTube video URL or video ID languages: Preferred languages in priority order (e.g. ["en", "de"]). Defaults to English. format: Output format — one of: text, json, pretty, webvtt, srt preserve_formatting: Keep HTML formatting tags in the transcript text include_timestamps: When True with format="text", prefix each line with [HH:MM:SS]. Ignored for json/srt/webvtt/pretty (those formats already include timestamps). include_metadata: When True (default), prepend a [METADATA] block (title, channel, published, duration, views, description) before the transcript. Pass False for transcript-only output.
| Name | Type | Req | Description |
|---|---|---|---|
| format | string | – | – |
| include_metadata | boolean | – | – |
| include_timestamps | boolean | – | – |
| languages | – | – | – |
| preserve_formatting | boolean | – | – |
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_video_metadata ~55
Fetch metadata (title, description, channel, upload date, duration, views, chapters, etc.) for a YouTube video. Args: url: YouTube video URL or video ID
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
list_playlist_videos ~181
List the videos in a YouTube playlist (titles, IDs, channels, durations, views). Per-video metadata is intentionally lean so the call stays fast even for big playlists. For full metadata on a specific video, call get_video_metadata with that video's ID. Args: url: YouTube playlist URL (with ?list=...) or bare playlist ID limit: Maximum videos to return (default 500). Pass a smaller value to truncate. sort_by: Sort key — "index" (playlist order, default), "title", "duration", "views". "upload_date" is not supported in this fast-mode tool. order: "asc" (default) or "desc".
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| order | string | – | – |
| sort_by | string | – | – |
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
list_transcripts ~39
List available transcript languages for a YouTube video. Args: url: YouTube video URL or video ID
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
search_videos ~223
Search YouTube for videos and return a clean ranked result list. Unlike the YouTube website, results contain only actual videos — no ads, recommendation shelves, or personalization. Relevance ordering still comes from YouTube's backend. Pair with get_transcript or summarize_transcript on a result's ID or URL. Args: query: Search terms limit: Maximum results to return (default 10) sort_by: Result order — "relevance" (default), "date" (newest first), "views", "rating" uploaded: Filter by upload time — "any" (default), "hour", "today", "week", "month", "year" duration: Filter by length — "any" (default), "short" (<4 min), "medium" (4-20 min), "long" (>20 min)
| Name | Type | Req | Description |
|---|---|---|---|
| duration | string | – | – |
| limit | integer | – | – |
| query | string | yes | – |
| sort_by | string | – | – |
| uploaded | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
summarize_transcript ~202
Fetch a YouTube video's transcript and return it with summarization instructions. The LLM client should use the returned instructions and transcript to produce a summary. The output is structured into clearly-labeled sections so a human can review the prompt before letting the LLM act on it. Args: url: YouTube video URL or video ID prompt: Custom summarization instructions. If omitted, a default summary prompt is used. languages: Preferred languages in priority order (e.g. ["en", "de"]). Defaults to English. include_timestamps: When True, prefix each transcript line with [HH:MM:SS]. include_metadata: When True (default), include a [VIDEO] block with title, channel, published date, duration, views, and description.
| Name | Type | Req | Description |
|---|---|---|---|
| include_metadata | boolean | – | – |
| include_timestamps | boolean | – | – |
| languages | – | – | – |
| prompt | – | – | – |
| url | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the io.github.zlatkoc/youtube-summarize MCP server?
io.github.zlatkoc/youtube-summarize is an MCP server listed in the public MCP registry as io.github.zlatkoc/youtube-summarize. MCP server that fetches YouTube video transcripts and optionally summarizes them. This page covers its PyPI package (youtube-summarize).
Is the io.github.zlatkoc/youtube-summarize MCP server safe to use?
io.github.zlatkoc/youtube-summarize scores 77 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. 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.zlatkoc/youtube-summarize MCP server expose?
io.github.zlatkoc/youtube-summarize exposes 6 tools: get_transcript, summarize_transcript, get_video_metadata, list_playlist_videos, search_videos, list_transcripts. Their descriptions and schemas cost roughly 913 tokens of context every time the server is loaded.
Is the io.github.zlatkoc/youtube-summarize MCP server still maintained?
io.github.zlatkoc/youtube-summarize is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.