YouTube Transcripts
About
Extract and analyze video captions and subtitles in multiple languages.
Details
- Author
- kimtaeyoon83
- Repository
- kimtaeyoon83/mcp-server-youtube-transcript
- GitHub stars
- 328
- Downloads
- 18,887
- License
- MIT License
- Categories
- Web Scraping, Other, Productivity, Developer Tools, Design, AI, Media, API, Infrastructure, Automation, Project Management
Jump to
- Support for multiple video URL formats (including YouTube Shorts)
- Language-specific transcript retrieval with automatic fallback
- Optional timestamps for referencing specific moments
- Built-in ad/sponsorship filtering (enabled by default)
- Zero external dependencies for transcript fetching
- Detailed metadata in responses
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
YouTube TranscriptsCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@kimtaeyoon83/mcp-server-youtube-transcript
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
To install YouTube Transcript Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kimtaeyoon83/mcp-server-youtube-transcript --client claude
mcp-get A command-line tool for installing and managing Model Context Protocol (MCP) servers.
```shell
npx @michaellatman/mcp-get@latest install @kimtaeyoon83/mcp-server-youtube-transcript
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.
bashOPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/index.ts
1. Get transcript by video URL:
typescriptawait server.callTool("get_transcript", {
url: "https://www.youtube.com/watch?v=VIDEO_ID",
lang: "en"
});
2. Get transcript by video ID:
typescriptawait server.callTool("get_transcript", {
url: "VIDEO_ID",
lang: "ko"
});
3. Get transcript from YouTube Shorts:
typescriptawait server.callTool("get_transcript", {
url: "https://www.youtube.com/shorts/VIDEO_ID"
});
4. Get transcript with timestamps:
typescriptawait server.callTool("get_transcript", {
url: "VIDEO_ID",
include_timestamps: true
});
5. Get raw transcript without ad filtering:
typescriptawait server.callTool("get_transcript", {
url: "VIDEO_ID",
strip_ads: false
});
6. How to Extract YouTube Subtitles in Claude Desktop App
get_transcript
Extract transcripts from YouTube videos. Inputs: url (string, required), lang (string, optional, default: 'en'), include_timestamps (boolean, optional, default: false), strip_ads (boolean, optional, default: true)
analyze_video
Analyze a video with TwelveLabs Pegasus for video understanding. Inputs: url (string, required), prompt (string, optional), model (string, optional, default: 'pegasus1.2'), max_tokens (number, optional, default: 2048)
- get_transcript
- Extract transcripts from YouTube videos
- Inputs:
- url (string, required): YouTube video URL, Shorts URL, or video ID
- lang (string, optional, default: "en"): Language code for transcript (e.g., 'ko', 'en'). Automatically falls back to available languages if requested language is not found.
- include_timestamps (boolean, optional, default: false): Include timestamps in output (e.g., '[0:05] text')
- strip_ads (boolean, optional, default: true): Filter out sponsorships, ads, and promotional content from transcript based on chapter markers
- analyze_video (optional, requires a TwelveLabs API key)
- Analyze a video with TwelveLabs Pegasus, a video-understanding model. Unlike get_transcript, this reasons over what is shown on screen, so it produces useful summaries and answers even for videos with little or no speech (demos, gameplay, b-roll, music videos).
- Inputs:
- url (string, required): A publicly reachable direct video URL (e.g. an .mp4/.mov/.webm link or a pre-signed URL). TwelveLabs fetches the file server-side, so a YouTube watch page URL will not work — it serves HTML, not a raw video stream.
- prompt (string, optional): Instruction or question for the model (e.g. "Summarize this video in 3 sentences" or "What products are shown?"). Defaults to a general summary.
- model (string, optional, default: "pegasus1.2"): Pegasus model to use ("pegasus1.2" or "pegasus1.5").
- max_tokens (number, optional, default: 2048): Maximum response length in tokens.
- Requires the TWELVELABS_API_KEY environment variable. The transcript tool works without it; analysis is fully opt-in. Grab a free key at twelvelabs.io — there's a generous free tier.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"youtube transcripts": {
"env": {},
"args": [
"-y",
"@kimtaeyoon83/mcp-server-youtube-transcript"
],
"shell": false,
"command": "npx"
}
}
}
Linux
{
"env": [],
"args": [
"-y",
"@kimtaeyoon83/mcp-server-youtube-transcript"
],
"shell": false,
"command": "npx"
}
Macos
{
"env": [],
"args": [
"-y",
"@kimtaeyoon83/mcp-server-youtube-transcript"
],
"shell": false,
"command": "npx"
}
Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@kimtaeyoon83/mcp-server-youtube-transcript"
],
"shell": false,
"command": "cmd"
}
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