PodCrawlerMCP
@infinitimeless
关于 PodCrawlerMCP
MCP server for podcast discovery through web crawling
基本信息
配置
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
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概览
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.
What tools does PodCrawlerMCP provide?
It provides one tool: discover_podcasts, which takes a required topic string and an optional max_results integer (default 10).
How do I integrate PodCrawlerMCP with Claude Desktop?
Add the following to your Claude Desktop configuration: {"mcpServers": {"podcrawler": {"command": "python", "args": ["-m", "podcrawler.server"]}}}.
Can I use PodCrawlerMCP programmatically?
Yes. Import PodCrawlerServer from podcrawler and call server.run() after installing the package.
What are the system requirements?
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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