podcrawler-mcp
If you are the rightful owner of podcrawler-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
PodCrawlerMCP is a 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.
PodCrawlerMCP is an innovative server that leverages the Model Context Protocol to facilitate the discovery of podcasts by crawling the web for RSS feeds. It is particularly useful for AI assistants, such as Claude, to find and filter podcast episodes based on specific topics or domains. The server is equipped with tools that parse RSS feeds to extract episode data and filter them according to user-defined criteria. PodCrawlerMCP is designed to integrate seamlessly with AI systems, providing a robust solution for podcast discovery. The server can be easily installed and run, either directly or within Python code, and offers a straightforward integration process with platforms like Claude Desktop.
Features
- 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
Tools
discover_podcasts
Discover podcasts for specific topics
