MCP server for podcast discovery through web crawling
Overview
what is PodCrawlerMCP?
PodCrawlerMCP is an MCP (Model Context Protocol) server designed for podcast discovery through web crawling, enabling AI assistants to find podcast episodes on specific topics by crawling the web for RSS feeds.
how to use PodCrawlerMCP?
To use PodCrawlerMCP, install it via pip or Poetry, run the server, and integrate it with AI assistants like Claude by configuring the MCP server settings.
key features of PodCrawlerMCP?
- 🕸️ Crawls podcast directories to discover RSS feeds
- 🎙️ Parses RSS feeds to extract episode data
- 🔍 Filters episodes by topic or domain
- 🔌 Exposes functionality through MCP tools
- 🤖 Seamlessly integrates with AI assistants like Claude
use cases of PodCrawlerMCP?
- Discovering podcasts on specific topics such as technology or history.
- Enabling AI assistants to provide users with relevant podcast recommendations.
- Automating the process of finding and filtering podcast episodes based on user interests.
FAQ from PodCrawlerMCP?
- Can PodCrawlerMCP discover podcasts on any topic?
Yes! PodCrawlerMCP can discover podcasts on a wide range of topics by filtering RSS feeds.
- Is PodCrawlerMCP easy to integrate with AI assistants?
Yes! PodCrawlerMCP is designed for seamless integration with AI assistants like Claude.
- What programming language is PodCrawlerMCP written in?
PodCrawlerMCP is written in Python.