YouTube Transcripts

by kimtaeyoon83

328 stars
18.9k downloads
Not rated
GitHub

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

- 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:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name YouTube Transcripts
    Command (node, npx, python, etc.) npx
    Arguments
    • 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.

  4. 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.

bash
OPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/index.ts

1. Get transcript by video URL:
typescript
await server.callTool("get_transcript", {
url: "https://www.youtube.com/watch?v=VIDEO_ID",
lang: "en"
});

2. Get transcript by video ID:
typescript
await server.callTool("get_transcript", {
url: "VIDEO_ID",
lang: "ko"
});

3. Get transcript from YouTube Shorts:
typescript
await server.callTool("get_transcript", {
url: "https://www.youtube.com/shorts/VIDEO_ID"
});

4. Get transcript with timestamps:
typescript
await server.callTool("get_transcript", {
url: "VIDEO_ID",
include_timestamps: true
});

5. Get raw transcript without ad filtering:
typescript
await 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"
}
[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/kimtaeyoon83-mcp-server-youtube-transcript-badge.png)](https://mseep.ai/app/kimtaeyoon83-mcp-server-youtube-transcript) # YouTube Transcript Server [![Trust Score](https://archestra.ai/mcp-catalog/api/badge/quality/kimtaeyoon83/mcp-server-youtube-transcript)](https://archestra.ai/mcp-catalog/kimtaeyoon83__mcp-server-youtube-transcript) [![smithery badge](https://smithery.ai/badge/@kimtaeyoon83/mcp-server-youtube-transcript)](https://smithery.ai/server/@kimtaeyoon83/mcp-server-youtube-transcript) A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface. <a href="https://glama.ai/mcp/servers/z429kk3te7"><img width="380" height="200" src="https://glama.ai/mcp/servers/z429kk3te7/badge" alt="mcp-server-youtube-transcript MCP server" /></a> ### Installing via Smithery To install YouTube Transcript Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@kimtaeyoon83/mcp-server-youtube-transcript): ```bash npx -y @smithery/cli install @kimtaeyoon83/mcp-server-youtube-transcript --client claude ``` ## Components ### Tools - **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](https://twelvelabs.io) 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](https://twelvelabs.io) — there's a generous free tier. ## Key Features - 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 ## Configuration To use with Claude Desktop, add this server configuration: ```json { "mcpServers": { "youtube-transcript": { "command": "npx", "args": ["-y", "@kimtaeyoon83/mcp-server-youtube-transcript"] } } } ``` To enable the optional `analyze_video` tool, add your TwelveLabs API key: ```json { "mcpServers": { "youtube-transcript": { "command": "npx", "args": ["-y", "@kimtaeyoon83/mcp-server-youtube-transcript"], "env": { "TWELVELABS_API_KEY": "your-twelvelabs-api-key" } } } } ``` ## Install via tool [mcp-get](https://github.com/michaellatman/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 ``` ## Awesome-mcp-servers [awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers) A curated list of awesome Model Context Protocol (MCP) servers. ## Development ### Prerequisites - Node.js 18 or higher - npm or yarn ### Setup Install dependencies: ```bash npm install ``` Build the server: ```bash npm run build ``` For development with auto-rebuild: ```bash npm run watch ``` ### Testing ```bash npm test ``` ### Debugging Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector for development: ```bash npm run inspector ``` ## Running evals 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](https://www.mcpevals.io/docs). ```bash OPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/index.ts ``` ## Error Handling The server implements robust error handling for common scenarios: - Invalid video URLs or IDs - Unavailable transcripts - Language availability issues - Network errors ## Usage Examples 1. Get transcript by video URL: ```typescript await server.callTool("get_transcript", { url: "https://www.youtube.com/watch?v=VIDEO_ID", lang: "en" }); ``` 2. Get transcript by video ID: ```typescript await server.callTool("get_transcript", { url: "VIDEO_ID", lang: "ko" }); ``` 3. Get transcript from YouTube Shorts: ```typescript await server.callTool("get_transcript", { url: "https://www.youtube.com/shorts/VIDEO_ID" }); ``` 4. Get transcript with timestamps: ```typescript await server.callTool("get_transcript", { url: "VIDEO_ID", include_timestamps: true }); ``` 5. Get raw transcript without ad filtering: ```typescript await server.callTool("get_transcript", { url: "VIDEO_ID", strip_ads: false }); ``` 6. How to Extract YouTube Subtitles in Claude Desktop App ```
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