YouTube Transcript
Fetches transcripts for YouTube videos.
ytt-mcp: YouTube Transcript MCP Server
MCP Server to fetch transcripts for YouTube videos.
Installing and Running
The most convenient way to install and run is to use uv and then invoke the package using uvx
Using MCP Inspector (for development/debugging/testing only)
uv run fastmcp dev ytt_mcp.py
This will generate a localhost URL that can be used to examine and test out the server.
Claude Desktop
Go to Settings → Developer, and then click on Edit Config. This will open the claude-desktop-config.json file in your default editor. Make the following addition
{
"mcpServers": {
…<rest of the config>…
"ytt-mcp": {
"command": "uvx",
"args": ["ytt-mcp"]
}
}
}
Relaunch Claude config and try out the server as shown in the screenshot below
Raycast
If you are using Raycast, you can install the MCP server by invoking the Install Server command from the MCP extension.
After that you can refer to the MCP server as @youtube-transcript and interact with it. You can also use it in a Raycast AI Command with a prompt. For example, here is a prompt I use to extract and summarize a YouTube URL in the clipboard
@youtube-transcript fetch the Youtube transcript of the video: {clipboard | raw}
Comprehensively summarize the transcript with the following format:
"""
### Key Takeaways
- <EXACTLY three bullet points with the key takeaways, keep the bullet points as short as possible>
"""
### Theme Wise Breakdown
<divide the transcript into thematic sections and summarize each section comprehensively. reuse any existing section delimiters the article already has. If not add your own. keep the content of the breakdown in the same order as it appears in the webpage text.>
Some rules to follow precisely:
- ALWAYS capture the perspective and POV of the author
- NEVER come up with additional information
See video demo below
https://github.com/user-attachments/assets/e6530768-3483-4cb9-988a-7ec7a999d505
관련 서버
Bright Data
스폰서Discover, extract, and interact with the web - one interface powering automated access across the public internet.
Trends Hub
Aggregates trending topics from over 20 sources in real-time, with customizable fields and RSS feed support.
Puppeteer Real Browser
Enables powerful, detection-resistant browser automation for AI assistants using puppeteer-real-browser.
Browser Use
An AI-driven browser automation server for natural language control and web research, with CLI access.
Cloudflare Browser Rendering
Provides web context to LLMs using Cloudflare's Browser Rendering API.
Daft.ie MCP Server
Search and retrieve rental property details from Daft.ie via web scraping.
Headline Vibes Analysis
Analyzes the sentiment of news headlines from major US publications using the NewsAPI.
Sports MCP Server
Live sports scores and stats from NBA, NFL, and NHL
Steel Puppeteer
Provides browser automation capabilities using Puppeteer and Steel, configurable for local or cloud instances.
MCP Web Research Server
A server for web research that brings real-time information into AI models like Claude.
Weibo
Scrape Weibo user information, feeds, and perform searches.