About YouTube Transcript Server
YouTube Transcript Server is an MCP server that retrieves transcripts from YouTube videos, including Shorts and video IDs. It suits users who want video captions as text for LLM summarization or question answering. An optional TwelveLabs integration can analyze on-screen content of direct video URLs.
Key features
- 01Accepts video URLs, Shorts URLs and video IDs
- 02Language-specific captions with automatic fallback
- 03Optional timestamps in transcript output
- 04Sponsorship and ad filtering enabled by default
- 05Optional TwelveLabs video analysis tool
Use cases
- 01Retrieve captions to summarize a video
- 02Extract transcript text in a chosen language
- 03Produce a transcript without sponsorship segments
MCP support
This project is an MCP server that provides a get_transcript tool to MCP clients, with an optional analyze_video tool when a TwelveLabs key is set.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEYouTube Transcript Server
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.
Installing via Smithery
To install YouTube Transcript Server for Claude Desktop automatically via Smithery:
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 IDlang(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/.webmlink 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_KEYenvironment 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.
- Analyze a video with TwelveLabs Pegasus, a video-understanding model. Unlike
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:
{
"mcpServers": {
"youtube-transcript": {
"command": "npx",
"args": ["-y", "@kimtaeyoon83/mcp-server-youtube-transcript"]
}
}
}
To enable the optional analyze_video tool, add your TwelveLabs API key:
{
"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 A command-line tool for installing and managing Model Context Protocol (MCP) servers.
npx @michaellatman/mcp-get@latest install @kimtaeyoon83/mcp-server-youtube-transcript
Awesome-mcp-servers
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:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Testing
npm test
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector for development:
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.
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
- Get transcript by video URL:
await server.callTool("get_transcript", {
url: "https://www.youtube.com/watch?v=VIDEO_ID",
lang: "en"
});
- Get transcript by video ID:
await server.callTool("get_transcript", {
url: "VIDEO_ID",
lang: "ko"
});
- Get transcript from YouTube Shorts:
await server.callTool("get_transcript", {
url: "https://www.youtube.com/shorts/VIDEO_ID"
});
- Get transcript with timestamps:
await server.callTool("get_transcript", {
url: "VIDEO_ID",
include_timestamps: true
});
- Get raw transcript without ad filtering:
await server.callTool("get_transcript", {
url: "VIDEO_ID",
strip_ads: false
});
- How to Extract YouTube Subtitles in Claude Desktop App
chat: https://youtu.be/ODaHJzOyVCQ?si=aXkJgso96Deri0aB Extract subtitles
Security Considerations
The server:
- Validates all input parameters
- Handles YouTube API errors gracefully
- Implements timeouts for transcript retrieval
- Provides detailed error messages for troubleshooting
License
This MCP server is licensed under the MIT License. See the LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
