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
Serveurs connexes
Bright Data
sponsorDiscover, extract, and interact with the web - one interface powering automated access across the public internet.
Configurable Puppeteer MCP Server
A configurable MCP server for browser automation using Puppeteer.
Crew Risk
A crawler compliance risk assessment system via a simple API.
DataLayer
Give your AI agent access to 60M+ companies and 300M+ verified contacts. Enrich leads, find work emails, discover tech stacks, and identify buying intent — directly from Claude, Cursor, Windsurf, or any MCP-compatible AI agent.
NBA Player Stats
Provides comprehensive NBA player statistics from basketball-reference.com, including career stats, season comparisons, and advanced metrics.
Playwright Server
A server providing Playwright tools for browser automation and web scraping.
Skyvern
AI-powered browser automation MCP server — navigate sites, fill forms, extract data, and handle logins via Claude Code CLI
ScrapeGraph AI
AI-powered web scraping using the ScrapeGraph AI API. Requires an API key.
neo-vision
Spatial DOM maps for AI agent browser navigation with anti-bot stealth and human-like behavioral simulation
Steel Puppeteer
Provides browser automation capabilities using Puppeteer and Steel, configurable for local or cloud instances.
HTTP Requests
An MCP server for making HTTP requests, enabling LLMs to fetch and process web content.