The YouTube Transcript Server provides a Model Context Protocol interface for extracting transcripts from YouTube videos, including Shorts, through a single `get_transcript` tool. The tool accepts video URLs or IDs and supports language-specific retrieval with automatic fallback, optional timestamps, and built-in filtering to remove sponsorships and ads based on chapter markers. This server solves the problem of programmatically accessing video captions and subtitles without external dependencies, enabling AI assistants to analyze video content directly.
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.
To install YouTube Transcript Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kimtaeyoon83/mcp-server-youtube-transcript --client claude
get_transcript
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 markersanalyze_video (optional, requires a TwelveLabs API key)
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).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.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.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"
}
}
}
}
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 A curated list of awesome Model Context Protocol (MCP) servers.
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
npm test
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector for development:
npm run inspector
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
The server implements robust error handling for common scenarios:
await server.callTool("get_transcript", {
url: "https://www.youtube.com/watch?v=VIDEO_ID",
lang: "en"
});
await server.callTool("get_transcript", {
url: "VIDEO_ID",
lang: "ko"
});
await server.callTool("get_transcript", {
url: "https://www.youtube.com/shorts/VIDEO_ID"
});
await server.callTool("get_transcript", {
url: "VIDEO_ID",
include_timestamps: true
});
await server.callTool("get_transcript", {
url: "VIDEO_ID",
strip_ads: false
});
chat: https://youtu.be/ODaHJzOyVCQ?si=aXkJgso96Deri0aB Extract subtitles
The server:
This MCP server is licensed under the MIT License. See the LICENSE file for details.
io.github.socialapishub/social-media-api
io.github.xpaysh/social-media
com.thenextgennexus/youtube-media-mcp-server
io.github.ludmila-omlopes/youtube-video-analyzer
csoai-org/social-media-ai-mcp
com.ezbizservices/social-media