Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
WindowsMacOS
Entertainment & Media · Education & Learning
MCP YouTube Transcript
jkawamoto/mcp-youtube-transcript
A Model Context Protocol (MCP) server that fetches transcripts and metadata from YouTube videos directly into your LLM workflows.
Install
Client configuration
{
"mcpServers": {
"youtube-transcript": {
"command": "uvx",
"args": [
"--from",
"<value>",
"mcp-youtube-transcript"
]
}
}
}Environment variables
WEBSHARE_PROXY_USERNAMEWEBSHARE_PROXY_PASSWORDSCRAPINGANT_API_TOKENHTTPS_PROXY- GitHub stars
- 14
- Author
- @jkawamoto
- Category
- Entertainment & Media, Education & Learning
- License
- MIT
- Updated
- Oct 6, 2026
About MCP YouTube Transcript
Designed specifically for AI agents, it seamlessly handles long-form videos through automatic pagination and provides robust proxy support to circumvent YouTube rate limits and IP bans.
Features
Rich Transcript Retrieval: Fetch raw text, timestamped segments, and video metadata in multiple languages.
Smart Chunking & Pagination: Automatically chunks long transcripts (default: 50,000 characters) to prevent context window overflow, letting models page through hours of video effortlessly.
Resilient Proxy Support: Built-in support for residential proxies (Webshare, ScrapingAnt) and standard HTTP/HTTPS proxies to prevent IP blocks.
Universal Compatibility: Works with Claude Desktop, Cursor, LM Studio, Goose, and any standard MCP client.
Tools (4)
get_transcript
get_timed_transcript
get_available_languages
get_video_info
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
Cursor
Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.
Goose
Desktop · Free · Apache 2.0
A general-purpose AI agent that can dynamically plug in new extensions and learn how to use them. It uses tools from multiple extensions to solve more advanced problems and can interact with multiple extensions simultaneously.
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