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- podcast-xyzrank-mcp
Podcast Xyzrank Mcp
What is Podcast Xyzrank Mcp
podcast-xyzrank-mcp is an MCP server that provides recommendations for podcasts worth listening to, utilizing data from the Chinese podcast ranking platform.
Use cases
Use cases include personal podcast recommendation systems, integration into media apps for enhanced content discovery, and tools for content creators to find trending topics.
How to use
To use podcast-xyzrank-mcp, you can run a local server with the command npx @modelcontextprotocol/inspector npx @web.worker/podcast-xyzrank-mcp and configure the necessary JSON for cursor tools.
Key features
Key features include the ability to fetch and recommend popular podcasts, integration with the Chinese podcast ranking data, and easy local setup for testing.
Where to use
podcast-xyzrank-mcp can be used in podcast discovery applications, media platforms, and any service that aims to enhance user engagement through podcast recommendations.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Podcast Xyzrank Mcp
podcast-xyzrank-mcp is an MCP server that provides recommendations for podcasts worth listening to, utilizing data from the Chinese podcast ranking platform.
Use cases
Use cases include personal podcast recommendation systems, integration into media apps for enhanced content discovery, and tools for content creators to find trending topics.
How to use
To use podcast-xyzrank-mcp, you can run a local server with the command npx @modelcontextprotocol/inspector npx @web.worker/podcast-xyzrank-mcp and configure the necessary JSON for cursor tools.
Key features
Key features include the ability to fetch and recommend popular podcasts, integration with the Chinese podcast ranking data, and easy local setup for testing.
Where to use
podcast-xyzrank-mcp can be used in podcast discovery applications, media platforms, and any service that aims to enhance user engagement through podcast recommendations.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
@web.worker/podcast-xyzrank-mcp

podcast-xyzrank-mcp 获取值得收听和推荐的播客,查询播客基础、播放数据。
安装
本地测试,这会启动一个本地的 server 验证功能。
npx @modelcontextprotocol/inspector npx @web.worker/podcast-xyzrank-mcp
cursor 等工具配置对应的 json:
{
"mcpServers": {
"xyzRank": {
"command": "npx",
"args": [
"-y",
"@web.worker/podcast-xyzrank-mcp"
]
}
}
}
使用
podcast-xyzrank-mcp,通过 mcp 获取值得收听和推荐的播客。
Q: 今天有什么播客推荐?
Q: 《Web Worker》 播客最近有什么更新?
Q: 你知道《嘻谈录》播客吗?
Q: https://feed.xyzfm.space/rv449dl9kqka 这个播客有什么值得推荐的节目?
感谢
数据来源:使用了《枫言枫语》播客创作的 中文播客榜 数据。
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










