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
基本信息
MCP server for podcast discovery through web crawling
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"podcrawler-mcp": {
"command": "python",
"args": [
"-m",
"podcrawler.server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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