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.
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Basic information
MCP server for podcast discovery through web crawling
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"podcrawler-mcp": {
"command": "python",
"args": [
"-m",
"podcrawler.server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
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.
It provides one tool: `discover_podcasts`, which takes a required `topic` string and an optional `max_results` integer (default 10).
Add the following to your Claude Desktop configuration: `{"mcpServers": {"podcrawler": {"command": "python", "args": ["-m", "podcrawler.server"]}}}`.
Yes. Import `PodCrawlerServer` from `podcrawler` and call `server.run()` after installing the package.
Python 3.8+ (implied by Poetry/pip) and the `podcrawler-mcp` package installed via pip or Poetry. No external API keys are required.
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