Uses Deepgram's Nova-2 model to provide high-speed transcription of podcast audio files into text.
Allows tracking, searching, and scraping of podcast episodes from RSS feeds for automated content discovery and processing.
Enables searching for and scraping audio from YouTube videos to extract podcast content for transcription.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Podcast ScraperCheck for new episodes and summarize them"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Podcast Scraper
An MCP (Model Context Protocol) server that scrapes and transcribes podcast episodes. Designed to work with Claude Code or Claude Desktop - you provide the podcast, the MCP transcribes it, and Claude summarizes it.
What It Does
ποΈ Scrapes podcasts from YouTube videos or RSS feeds
π― Transcribes audio using Deepgram's fast Nova-2 model
π Organizes files by podcast name and episode date
π Tracks podcasts for new episodes
βοΈ Skips duplicates - won't re-scrape already processed episodes
π Finds incomplete work - lists episodes that need summarization
βοΈ Custom summary prompts - customize how Claude summarizes for your needs
How It Works
You: "Check for new episodes and summarize them"
β
Claude: Calls check_new_episodes() β Finds new episodes
β
Claude: Calls scrape_podcast() β Downloads & transcribes
β
Claude: Calls get_summary_prompt() β Reads your custom instructions
β
Claude: Calls get_transcript() β Reads the transcript
β
Claude: Summarizes following your prompt
β
Claude: Calls save_summary() β Saves the .md file
β
Done! transcript.md + summary.md savedInstallation Guide
Step 1: Prerequisites
Install required system tools (macOS):
# Install Homebrew if you don't have it
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# Install yt-dlp (for YouTube) and ffmpeg (for audio)
brew install yt-dlp ffmpegStep 2: Clone & Build
# Clone the repository
git clone https://github.com/wkoleilat-happytitan/mcp-podcast-scraper.git
cd mcp-podcast-scraper
# Install dependencies
npm install
# Build
npm run buildStep 3: Get a Deepgram API Key
Sign up (free tier includes $200 credit - enough for ~300 hours of audio)
Create an API key
Copy the key
Step 4: Configure
Copy the example config file and add your API key:
# Copy the example config
cp config.example.json config.json
# Edit config.json and add your Deepgram API keyYour config.json should look like:
{
"outputDirectory": "./podcasts",
"deepgramApiKey": "YOUR_ACTUAL_DEEPGRAM_API_KEY",
"tempDirectory": "./temp"
}β οΈ Important: Never commit
config.jsonto git - it contains your API key! The.gitignorealready excludes it.
Step 5: Add to Claude Code
Add this to your Claude Code MCP settings (~/.cursor/mcp.json or via Settings β MCP):
{
"mcpServers": {
"podcast-scraper": {
"command": "node",
"args": ["/FULL/PATH/TO/mcp-podcast-scraper/dist/index.js"]
}
}
}Important: Replace /FULL/PATH/TO/ with the actual path to your installation.
Step 5 (Alternative): Add to Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"podcast-scraper": {
"command": "node",
"args": ["/FULL/PATH/TO/mcp-podcast-scraper/dist/index.js"]
}
}
}Then restart Claude Desktop.
File Structure
mcp-podcast-scraper/
βββ config.example.json # Template - copy to config.json
βββ config.json # Your config (git-ignored, contains API key)
βββ tracking.example.json # Example tracking file
βββ tracking.json # Your tracked podcasts (git-ignored)
βββ prompts/
β βββ summary-prompt.md # Customize how Claude summarizes (editable)
βββ podcasts/ # Your transcripts & summaries (git-ignored)
βββ src/ # Source code
βββ dist/ # Compiled code (git-ignored)
βββ node_modules/ # Dependencies (git-ignored)Usage Examples
Scrape a Specific Episode
"Scrape this YouTube podcast: https://youtube.com/watch?v=..."
"Find and scrape the latest Lex Fridman episode"Track Podcasts for New Episodes
"Track the Huberman Lab podcast: https://feeds.megaphone.fm/hubermanlab"
"Check my tracked podcasts for new episodes"
"List all podcasts I'm tracking"Find Incomplete Work
"Show me episodes that need summaries"
"List incomplete episodes"MCP Tools Reference
Tool | Description |
| Scrape & transcribe an episode. Returns file path and preview. |
| Read the full transcript of a scraped episode. |
| Get your custom summarization instructions. |
| Save your generated summary to a markdown file. |
| Check tracked podcasts for new (unscraped) episodes. |
| Find episodes with transcripts but no summaries. |
| Search YouTube or parse RSS feeds to find episodes. |
| Add a podcast RSS feed to your tracking list. |
| List all podcasts you're tracking. |
| Remove a podcast from your tracking list. |
Workflow
Typical Session
Check for new episodes:
"Check my tracked podcasts for new episodes"Scrape each new episode:
"Scrape the first one"Get transcript and summarize:
"Get the transcript and summarize it"Repeat for remaining episodes
Resume Incomplete Work
If you stopped mid-session:
"Show me episodes that need summaries"Then for each incomplete episode:
"Get the transcript for [episode] and summarize it"Output Structure
Files are organized by podcast and episode:
podcasts/
βββ Huberman Lab/
β βββ 2024-12-10 - Episode Title/
β β βββ transcript.md
β β βββ summary.md
β βββ 2024-12-05 - Another Episode/
β βββ transcript.md
β βββ summary.md
βββ Lex Fridman Podcast/
βββ 2024-12-08 - Guest Name/
βββ transcript.md
βββ summary.mdConfiguration Options
Option | Description | Default |
| Where to save transcripts and summaries. Can be relative or absolute path. |
|
| Your Deepgram API key for transcription | Required |
| Temporary directory for audio files (auto-cleaned on startup) |
|
Environment variables (optional alternative to config.json):
DEEPGRAM_API_KEYOUTPUT_DIRECTORYTEMP_DIRECTORY
Customizing Summary Prompts
Control how Claude summarizes your podcasts by editing prompts/summary-prompt.md.
The default prompt is tailored for Product Managers and includes:
π― Episode Overview
π‘ Key Insights for Product Managers
π§ Mental Models & Frameworks
π Personal Development Takeaways
β Action Items
π¬ Notable Quotes
π Related Topics
Customize for Your Needs
Edit prompts/summary-prompt.md to:
Change the target audience (engineer, designer, founder, etc.)
Add/remove sections
Adjust the summary length
Focus on specific topics
Change the formatting style
Example customizations:
For Engineers:
Focus on:
- Technical concepts and architecture decisions
- Implementation details worth noting
- Tools and technologies mentioned
- Code patterns and best practicesFor Founders:
Focus on:
- Business strategy insights
- Fundraising advice
- Growth tactics
- Leadership lessons
- Mistakes to avoidClaude will read this prompt before generating each summary, ensuring consistent, personalized output.
Development
# Watch mode (auto-rebuild on changes)
npm run dev
# Build once
npm run build
# Run MCP server directly
npm start
# Clean build artifacts and temp files
npm run clean
# Test with MCP Inspector (interactive UI)
npx @modelcontextprotocol/inspector node dist/index.jsTroubleshooting
"ffprobe and ffmpeg not found"
brew install ffmpeg"Deepgram API key not configured"
Make sure you've copied config.example.json to config.json and added your API key.
MCP server not connecting
Run
npm run buildVerify path in MCP config is correct
Restart Claude Code/Desktop
"YouTube URLs not supported for tracking"
Use RSS feeds instead. Find podcast RSS feeds at https://getrssfeed.com/
License
MIT