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  3. Transcriptor MCP
Transcriptor MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 2:01:15 AM

Transcriptor MCP

User RatingsBe the first to rate and review this MCP server!
View Repository19 GitHub StarsTotal stargazers on GitHub for the source repository (19 stars).Visit Website
browser-automationtranscriptssubtitlesvideo-metadatawhisper

Fetch video transcripts, subtitles, metadata, and chapters across 11 platforms with Whisper fallback and pagination support.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for samson-art/transcriptor-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (8) Directory Badge Claim listing AlternativesπŸ“‚ More in Browser Automation

Overview

This MCP server extracts transcripts, subtitles, and extended metadata from videos on multiple platforms including YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, and Reddit. It supports raw and cleaned subtitle formats, chapter markers, video frames, and batch playlist transcripts. When subtitles are unavailable, it can transcribe audio using Whisper locally or via OpenAI API. It is suitable for AI, summarization, or content analysis workflows that require text and metadata without downloading media files.

Use cases

β€’Retrieve cleaned transcripts for AI summarization
β€’Obtain raw subtitles in SRT/VTT format with pagination
β€’Fetch video metadata and chapter markers for content analysis
β€’Transcribe audio fallback using Whisper when subtitles are missing
β€’Search YouTube videos by keyword

Key features

β€’Multi-platform support for 11 major video sites
β€’Cleaned transcripts and raw subtitles with multi-language support
β€’Video metadata including title, channel, tags, thumbnails, and chapters
β€’Pagination for large subtitle responses
β€’Whisper fallback transcription (local or OpenAI API)
β€’Optional Redis caching to reduce repeated calls

Capabilities & Tool Schemas (8) ~82 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Transcriptor MCP.

get_transcript

Cleaned plain text (first chunk)

get_raw_subtitles

Raw SRT/VTT, paginated

get_available_subtitles

List official/auto languages

get_video_info

Extended metadata

get_video_chapters

Chapter markers

get_video_frame

Single frame image at timestamp

Documentation Overview

Transcriptor MCP

🎬 Now your AI assistant can watch videos!

Connect one server. Then ask Claude, ChatGPT or etc about a video: the transcript, the chapters, the metadata, or a single frame. It works with 11 platforms, not only YouTube.

Website MCP Registry Docker MCP Apps License

Connect Β· What to ask Β· Widgets Β· Platforms Β· Self-host


⚑ Connect in 30 seconds

The hosted endpoint is:

text
https://transcriptor.gateway.mcpal.io/mcp

πŸ–±οΈ One click

Add to Cursor Install in VS Code Add to LM Studio

⌨️ One command, for Claude Code

Terminal
claude mcp add --transport http transcriptor https://transcriptor.gateway.mcpal.io/mcp

Then run /mcp and approve the sign-in in the browser. After this, claude mcp list shows βœ” Connected.

🧭 No terminal

ClientWhat to do
Claude (web and desktop)Open Settings β†’ Customize β†’ Connectors. Select Add β†’ Add custom connector, paste https://transcriptor.gateway.mcpal.io/mcp, then select Add.
ChatGPTOpen Settings β†’ Security and login and turn on Developer mode. Then open Plugins, select +, and paste https://transcriptor.gateway.mcpal.io/mcp.
CodexAdd the block below to ~/.codex/config.toml, then run codex mcp login transcriptor. The CLI, the IDE extension and the ChatGPT desktop app share this file.
toml
[mcp_servers.transcriptor]
url = "https://transcriptor.gateway.mcpal.io/mcp"
auth = "oauth"

Note: ChatGPT developer mode is available on the web, for paid plans. Some releases show this control as Settings β†’ Apps & Connectors β†’ Advanced.

Note: codex mcp add registers stdio servers only, so a hosted server goes into config.toml. See the Codex MCP docs.

🧩 Any other MCP client

If your client is not in the list above, add the server with this configuration:

config.json
{
  "mcpServers": {
    "transcriptor": {
      "url": "https://transcriptor.gateway.mcpal.io/mcp"
    }
  }
}

If you want to run the server yourself, read Self-host. The tools are the same and you need no account.


🧰 What you can ask

Ask for thisTool
"Summarize this video for me"get_transcript
"Give me the subtitles as an SRT file"get_raw_subtitles
"Is there a German track for this video?"get_available_subtitles
"Who published this and how many views?"get_video_info
"Go to the part about pricing"get_video_chapters
"Show me the screen at 4:12"get_video_frame
"Get transcripts for the first 5 videos in this playlist"get_playlist_transcripts
"Find recent videos about X"search_videos (YouTube)

Long transcripts come in parts. Each response gives a cursor for the next part, so no text is lost.

Full tool reference (input and structured response)

Each tool that takes a video accepts url. This is a link from a supported platform or a plain YouTube ID. Each tool returns content (text for the chat) and structuredContent (typed JSON for your code).

get_transcript

Clean plain text, without timestamps, HTML, or speaker names. The tool finds the type and the language for you.

Response: videoId, type, lang, text, is_truncated, total_length, start_offset, end_offset. When more text is available, the response also has next_cursor.

get_raw_subtitles

Raw SRT or VTT content, in parts.

Input:

  • type β€” official or auto
  • lang β€” a language code
  • response_limit β€” default 50000, minimum 1000, maximum 200000
  • next_cursor β€” the cursor of the previous response

Response: the fields of get_transcript, plus format (srt or vtt) and content.

get_available_subtitles

Response: official and auto. Each field is a sorted list of language codes. Use this tool first, then give type and lang to the tools above.

get_video_info

Extended metadata from yt-dlp:

  • identity β€” videoId, title, description, webpageUrl
  • author β€” uploader, uploaderId, channel, channelId, channelUrl
  • numbers β€” duration, uploadDate, viewCount, likeCount, commentCount
  • classification β€” tags, categories, liveStatus, isLive, wasLive, availability
  • images β€” thumbnail and thumbnails

get_video_chapters

Response: chapters. Each item has startTime, endTime, and title. When the video has no chapters, the list is empty.

get_video_frame

Input:

  • timecode β€” "MM:SS" or "HH:MM:SS.mmm"
  • seconds β€” an alternative to timecode. Give one of the two, not both
  • format β€” jpeg (default) or png
  • width β€” default 1280, maximum 1920, never larger than the source
  • quality β€” 2 to 31, for jpeg only

Response: an image block, plus timestampSeconds, timestamp, mimeType, sizeBytes, and width. This tool needs ffmpeg. The Docker image includes it.

get_playlist_transcripts

Input:

  • url β€” a playlist URL, or a watch URL with list=
  • type, lang, format β€” the same as get_raw_subtitles
  • playlistItems β€” a yt-dlp -I value such as 1:5, 1,3,7, or -1
  • maxItems β€” the maximum number of videos

Response: results. Each item has videoId and text.

search_videos

Input:

  • query β€” the search text
  • limit β€” default 10, maximum 50
  • offset β€” the number of results to skip
  • uploadDateFilter β€” hour, today, week, month, or year
  • response_format β€” json (default) or markdown

Response: results. Each item has videoId, title, url, duration, uploader, viewCount, and thumbnail.


πŸ“Ί Widgets

Four tools have an interactive interface: get_transcript, get_video_info, get_video_frame, and search_videos. Clients that support MCP Apps and the ChatGPT Apps SDK show this interface in the chat. Other clients get the same data as text and JSON.

The search_videos widget: a carousel of result cards with thumbnails, durations, and view counts

search_videos Β· "model context protocol MCP server production"

The get_video_frame widget: one captured frame with step controls and a timecode field

get_video_frame Β· an architecture slide at 3:30

The get_transcript widget: a video card above a searchable list of timed captions

get_transcript Β· a 3-minute MCP explainer, official captions

The get_video_info widget: thumbnail, channel, views, likes, description, and a subtitle language picker

get_video_info Β· channel, views, likes, and 169 caption languages


🌍 Platforms

YouTube Β· Twitter/X Β· Instagram Β· TikTok Β· Twitch Β· Vimeo Β· Facebook Β· Bilibili Β· VK Β· Dailymotion Β· Reddit

Each tool that takes a video accepts a link from these 11 platforms. The tool search_videos works with YouTube only, through yt-dlp ytsearch.

The server does not download video or audio files for you. It returns text, metadata, and single frames.


🐳 Self-host

The tools are the same as on the hosted endpoint. You need no account.

Run the server with Docker. The image serves Streamable HTTP on port 4200:

Terminal
docker run --rm -p 4200:4200 artsamsonov/transcriptor-mcp:latest

Then point your client at http://localhost:4200/mcp.

For stdio, give the image an explicit command:

Terminal
docker run --rm -i artsamsonov/transcriptor-mcp:latest npm run start:mcp
config.json
{
  "mcpServers": {
    "transcriptor": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "artsamsonov/transcriptor-mcp:latest", "npm", "run", "start:mcp"]
    }
  }
}

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
19
Stargazers on the source repository.
Last commit
12d ago
Most recent push to the default branch.
Tools exposed
8
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Transcriptor MCP

It supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion, and Reddit.

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Technical Specs & Signals

CategoryπŸ“‚Browser Automation
PricingBring your own API key (usage-based cost)
More technical detailsExpand β–Ύ
AuthNo auth required
LicenseMIT
ClientsCursor
Last updatedAug 29, 2026
8/9 checks healthy over the last 31d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars19
GitHub Star CountTotal stargazers on GitHub representing community popularity (19 stars).
Last commit12d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 29, 2026
51Quality signal: Good Β· 51/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools22/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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