YouTube
Search YouTube videos and retrieve their transcripts using the YouTube API.
YouTube MCP Server
A Model Context Protocol (MCP) server that enables Claude Desktop (and other applications) to interact with YouTube, providing search and transcript functionality.
Features
- Search YouTube Videos: Search for videos with customizable result counts
- Get Video Transcripts: Extract transcripts from YouTube videos using URLs or video IDs
- AI-Ready Integration: Seamlessly integrates with Claude Desktop for YouTube content analysis
Tools Available
1. search_youtube_videos
- Purpose: Search YouTube for videos based on a query
- Parameters:
search_term(string): The search querynum_videos(int): Number of videos to return (default: 5, max: 50)
- Returns: List of video information including titles, channels, descriptions, URLs, and metadata
2. get_youtube_transcript
- Purpose: Extract transcript from a YouTube video
- Parameters:
video_url_or_title(string): YouTube video URL or video ID
- Returns: Full transcript with timestamps and metadata
3. analyze_youtube_content_prompt
- Purpose: AI prompt template for comprehensive YouTube content analysis
- Parameters:
search_term(string): Topic to analyzenum_videos(int): Number of videos to analyze
Setup
1. Install Dependencies
# Create virtual environment
python3 -m venv .venv
# Activate virtual environment
source .venv/bin/activate
# Install dependencies
pip install -r requirements.txt
2. Get YouTube API Key
- Go to Google Cloud Console
- Create a new project or select existing one
- Enable YouTube Data API v3
- Create credentials (API Key)
- Copy the API key
3. Configure Environment
# Copy example environment file
cp .env.example .env
# Edit .env and add your YouTube API key
YOUTUBE_API_KEY=your_actual_api_key_here
4. Test the Server
# Activate virtual environment
source .venv/bin/activate
# Run the server
python youtube_server.py
Integration with Claude Desktop
Add this configuration to your Claude Desktop MCP settings:
{
"mcpServers": {
"youtube": {
"command": "local/path/to/uv",
"args": [
"run",
"--directory",
"/Path/to/your/project",
"youtube_server.py"
],
"env": {
"YOUTUBE_API_KEY": "your_key_here"
}
}
}
Usage Examples
Once integrated with Claude Desktop, you can:
- "Search for videos about machine learning and get transcripts"
- "Find the latest videos on climate change and analyze their content"
- "Get the transcript of this YouTube video: https://www.youtube.com/watch?v=..."
- "Compare different perspectives on AI ethics from YouTube videos"
Error Handling
- Missing API Key: Server will warn and search functionality will be limited
- Invalid Video IDs: Clear error messages for transcript requests
- API Limits: Respects YouTube API quotas and rate limits
- Missing Transcripts: Handles videos without available captions
Dependencies
fastmcp: MCP server frameworkgoogle-api-python-client: YouTube Data API accessyoutube-transcript-api: Transcript extraction
License
This project is open source and available under standard licensing terms.
관련 서버
OriginSelect MCP Server
Discover ethical, origin-verified products from the US and Canada by country, category, or brand.
MCP Agent
A lightweight, local MCP server in Python that enables RAG search through AWS Lambda.
Needle
Production-ready RAG out of the box to search and retrieve data from your own documents.
MCP Research Friend
Research tools, including a Sqlite-backed document stash
Academic Paper Search
Search and retrieve academic paper information from multiple sources like Semantic Scholar and CrossRef.
Brave Search
An MCP server for web and local search using the Brave Search API.
EU Regulations MCP
Query 37 EU regulations (DORA, NIS2, GDPR, AI Act, CRA) with full-text search, cross-regulation comparison, and ISO 27001/NIST CSF control mappings. Auto-updates via EUR-Lex monitoring.
MCP Tavily
Advanced web search and content extraction using the Tavily API.
Hunter MCP Server
Enables natural language interaction with Hunter's B2B data via its API.
MCP Gemini Google Search
Performs Google searches using Gemini's built-in Grounding with Google Search feature.