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Transcriptor MCP

OCI · DOCKER.IO/ARTSAMSONOV/TRANSCRIPTOR-MCP:1.5.8 · 2 COMPONENTS · SCANNED SEP 26

Fetch transcripts, subtitles, chapters, metadata and frames from YouTube and 10+ video platforms

39 Trust /100
Trust breakdown (7 categories)

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 Security0
  • Malware scan not yet available for this package.Unverified
  • Known CVEs could not be checked: this artifact ships no SBOM, so there is no dependency list to read.Unverified
  • Install-script risk not yet assessed.Unverified
  • Dependency health could not be checked: this artifact ships no SBOM, so there is no dependency list to read.Unverified
Provenance & Transparency32
Schema Quality & AI Usability83
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1522 tokens (~101/item across 15 items; 8 tools + 7 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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
  • 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 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 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
  • Supports UI / widget rendering.Pass

Unverified: 2 categories

Categories scored 0 because we could not verify them: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

How do I install the Transcriptor MCP server?

Transcriptor MCP runs locally as a container image, launched with docker run --rm -i docker.io/artsamsonov/transcriptor-mcp:1.5.8. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

oci · docker.io/artsamsonov/transcriptor-mcp:1.5.8

# add to Claude Code
claude mcp add samson-art-transcriptor-mcp -- docker run --rm -i docker.io/artsamsonov/transcriptor-mcp:1.5.8
// .cursor/mcp.json
{
  "mcpServers": {
    "samson-art-transcriptor-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "docker.io/artsamsonov/transcriptor-mcp:1.5.8"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "samson-art-transcriptor-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "docker.io/artsamsonov/transcriptor-mcp:1.5.8"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add samson-art-transcriptor-mcp -- docker run --rm -i docker.io/artsamsonov/transcriptor-mcp:1.5.8
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "samson-art-transcriptor-mcp": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "docker.io/artsamsonov/transcriptor-mcp:1.5.8"
      ],
      "enabled": true
    }
  }
}
# ~/.hermes/config.yaml
mcp_servers:
  samson-art-transcriptor-mcp:
    command: "docker"
    args: ["run", "--rm", "-i", "docker.io/artsamsonov/transcriptor-mcp:1.5.8"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "samson-art-transcriptor-mcp": {
      "Transport": "stdio",
      "Command": "docker",
      "Arguments": [
        "run",
        "--rm",
        "-i",
        "docker.io/artsamsonov/transcriptor-mcp:1.5.8"
      ]
    }
  }
}
// mcp.json
{
  "mcpServers": {
    "samson-art-transcriptor-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "docker.io/artsamsonov/transcriptor-mcp:1.5.8"
      ]
    }
  }
}
Changelog

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.

  • 25 Sept 26 +33
    • Injection markers: unverified → pass ▲ security
    • First check of Judged manipulation: pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Tool coverage: unverified → 100 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Schema quality: unverified → 100 ▲ functional
    • First check of Schema quality: fail functional
    • First check of Destructive annotations: pass functional
    • First check of Capabilities: pass functional
    • First check of Schema quality: pass functional
    • First check of Schema quality: good functional
    • First check of Tool coverage: 100 functional
    • First check of Tool coverage: 100 functional
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 24 Sept 26 6

    First indexed and scored.

Diagnostics

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 25 Sept 2026 · Analysed oci/docker.io/artsamsonov/transcriptor-mcp:1.5.8

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem oci
Reason No attestation published

Background: How many MCP packages publish verified provenance →

MCP tools · 8 exposed · ~1,411 tokens

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 →

Tool Tokens
get_available_subtitles ~86

List available official and auto-generated subtitle languages.

NameTypeReqDescription
formatstring–Subtitle format (default from YT_DLP_SUB_FORMAT or srt)
urlstringyesVideo URL (supported: YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit) or YouTube video ID
NameTypeReqDescription
autoarrayyes–
officialarrayyes–
videoIdstringyes–

No examples provided.

get_playlist_transcripts ~203

Fetch cleaned subtitles (plain text) for multiple videos from a playlist. Use playlistItems (e.g. "1:5") to select specific items, maxItems to limit count.

NameTypeReqDescription
formatstring–Subtitle format (default from YT_DLP_SUB_FORMAT or srt)
langstring–Language code (e.g. en, ru). Default: en
maxItemsinteger–Max number of videos to fetch (yt-dlp --max-downloads)
playlistItemsstring–yt-dlp -I spec: "1:5", "1,3,7", "-1" for last, "1:10:2" for every 2nd
typestring–Subtitle track type: official or auto-generated (default: auto)
urlstringyesPlaylist URL (e.g. youtube.com/playlist?list=XXX) or watch URL with list= parameter
NameTypeReqDescription
resultsarrayyes–

No examples provided.

get_raw_subtitles ~197

Fetch raw SRT/VTT subtitles for a video (supported platforms). Optional: type, lang, response_limit (when omitted returns full content), next_cursor for pagination.

NameTypeReqDescription
formatstring–Subtitle format (default from YT_DLP_SUB_FORMAT or srt)
langstring–Language code (e.g. en, es). When omitted with Whisper fallback, language is auto-detected
next_cursorstring–Opaque cursor from previous response for pagination
response_limitinteger–Max characters per response. When omitted, returns full content. When set: min 1000
typestring–Subtitle track type: official or auto-generated
urlstringyesVideo URL (supported: YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit) or YouTube video ID
NameTypeReqDescription
contentstringyes–
end_offsetnumberyes–
formatstringyes–
is_truncatedbooleanyes–
langstringyes–
next_cursorstring––
sourcestring––
start_offsetnumberyes–
total_lengthnumberyes–
typestringyes–
videoIdstringyes–

No examples provided.

get_transcript ~232

Fetch cleaned subtitles as plain text for a video (YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit). Uses auto-discovery for type/language when omitted. Optional: type, lang, response_limit (when omitted returns full transcript), next_cursor for pagination.

NameTypeReqDescription
formatstring–Subtitle format (default from YT_DLP_SUB_FORMAT or srt)
langstring–Language code (e.g. en, es). When omitted with Whisper fallback, language is auto-detected
next_cursorstring–Opaque cursor from previous response for pagination
response_limitinteger–Max characters per response. When omitted, returns full content. When set: min 1000
typestring–Subtitle track type: official or auto-generated
urlstringyesVideo URL (supported: YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit) or YouTube video ID
NameTypeReqDescription
end_offsetnumberyes–
is_truncatedbooleanyes–
langstringyes–
next_cursorstring––
sourcestring––
start_offsetnumberyes–
textstringyes–
total_lengthnumberyes–
typestringyes–
urlstring––
videoIdstringyes–

No examples provided.

get_video_chapters ~91

Fetch chapter markers (start/end time, title) for a video.

NameTypeReqDescription
formatstring–Subtitle format (default from YT_DLP_SUB_FORMAT or srt)
urlstringyesVideo URL (supported: YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit) or YouTube video ID
NameTypeReqDescription
chaptersarrayyes–
videoIdstringyes–

No examples provided.

get_video_frame ~267

Capture a single frame from a video at the given timestamp. Provide timecode ("01:23", "00:01:23.500") or seconds; defaults to the first frame. Optional: format (png|jpeg), width (max 1920), quality (jpeg, 2-31). Returns the image plus metadata.

NameTypeReqDescription
formatstring–Image format (default: jpeg)
qualityinteger–JPEG quality (ffmpeg -q:v): 2 (best) to 31 (worst). Default: 4. Ignored for png.
secondsnumber–Timestamp in seconds (alternative to timecode). Default: 0 (first frame)
timecodestring–Timestamp as "MM:SS" or "HH:MM:SS(.mmm)", e.g. "01:23" or "00:01:23.500"
urlstringyesVideo URL (supported: YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit) or YouTube video ID
widthinteger–Output image width in pixels (default: 1280, max: 1920). Never upscales.
NameTypeReqDescription
mimeTypestringyes–
sizeBytesnumberyes–
timestampstringyes–
timestampSecondsnumberyes–
urlstring––
videoIdstringyes–
widthnumber|nullyes–

No examples provided.

get_video_info ~95

Fetch extended metadata for a video (title, channel, duration, tags, thumbnails, etc.).

NameTypeReqDescription
formatstring–Subtitle format (default from YT_DLP_SUB_FORMAT or srt)
urlstringyesVideo URL (supported: YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, Reddit) or YouTube video ID
NameTypeReqDescription
availabilitystring|nullyes–
categories–yes–
channelstring|nullyes–
channelIdstring|nullyes–
channelUrlstring|nullyes–
commentCountnumber|nullyes–
descriptionstring|nullyes–
durationnumber|nullyes–
isLiveboolean|nullyes–
likeCountnumber|nullyes–
liveStatusstring|nullyes–
tags–yes–
thumbnailstring|nullyes–
thumbnails–yes–
titlestring|nullyes–
uploadDatestring|nullyes–
uploaderstring|nullyes–
uploaderIdstring|nullyes–
videoIdstringyes–
viewCountnumber|nullyes–
wasLiveboolean|nullyes–
webpageUrlstring|nullyes–

No examples provided.

search_videos ~240

Search videos on YouTube via yt-dlp (ytsearch). Returns list of matching videos with metadata. Optional: limit, offset (pagination), uploadDateFilter (hour|today|week|month|year), dateBefore, date, matchFilter (e.g. "!is_live"), response_format (json|markdown).

NameTypeReqDescription
datestring–yt-dlp --date, exact date e.g. "20231215" or "today-2weeks"
dateBeforestring–yt-dlp --datebefore, e.g. "now-1year" or "20241201"
limitinteger–Max results (default 10)
matchFilterstring–yt-dlp --match-filter, e.g. "!is_live" or "duration < 3600 & like_count > 100"
offsetinteger–Skip first N results (pagination)
querystring–Search query
response_formatstring–Format of the human-readable content: json (default) or markdown
uploadDateFilterstring–Filter by upload date (relative to now)
NameTypeReqDescription
resultsarrayyes–

No examples provided.

Common questions

What is the Transcriptor MCP server?

Transcriptor MCP is listed in the public MCP registry as io.github.samson-art/transcriptor-mcp. Fetch transcripts, subtitles, chapters, metadata and frames from YouTube and 10+ video platforms. This page covers its container image (docker.io/artsamsonov/transcriptor-mcp:1.5.8).

Is the Transcriptor MCP server safe to use?

Transcriptor MCP scores 39 out of 100 on VerifyMCP. 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 Transcriptor MCP server expose?

Transcriptor MCP exposes 8 tools: get_transcript, get_raw_subtitles, get_available_subtitles, get_video_info, get_video_chapters, and 3 more. Their descriptions and schemas cost roughly 1,411 tokens of context every time the server is loaded.

Is the Transcriptor MCP server still maintained?

Transcriptor MCP is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.