PodCrawlerMCP

Name: PodCrawlerMCP
Author: infinitimeless

@infinitimeless

Repository

About PodCrawlerMCP

MCP server for podcast discovery through web crawling

#podcrawler #podcast-discovery #web-crawling

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "podcrawler-mcp": {
      "command": "python",
      "args": [
        "-m",
        "podcrawler.server"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is PodCrawlerMCP?

PodCrawlerMCP is an MCP (Model Context Protocol) server that enables AI assistants to discover podcast episodes on specific topics by crawling the web for RSS feeds. It crawls podcast directories, parses feeds, filters episodes by topic or domain, and exposes this functionality as MCP tools.

How to use PodCrawlerMCP?

Install with pip install podcrawler-mcp (or poetry add podcrawler-mcp). Run the server directly via python -m podcrawler.server. To integrate with Claude Desktop, add a configuration entry pointing to that command. The server exposes the discover_podcasts tool.

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

AI assistants answering “Find me podcasts about black holes.”
Curating topic-specific podcast lists from the open web.
Automating podcast research for content creation or newsletters.
Enabling voice assistants to suggest relevant episodes on demand.

FAQ from PodCrawlerMCP

How does PodCrawlerMCP find podcasts?

It crawls podcast directories on the web to discover RSS feeds, then parses those feeds to extract episode metadata and filters results by the requested topic.