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.
@infinitimeless
基本情報
MCP server for podcast discovery through web crawling
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"podcrawler-mcp": {
"command": "python",
"args": [
"-m",
"podcrawler.server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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