Podcast Recommendation Analyzer

MCPOpen Source30.1

by Otto-J • Search & Retrieval

The MCP server analyzes and recommends podcasts based on various criteria.

Example Use Cases

1
Discover new and recommended podcasts based on up-to-date data.
2
Query recent updates or episodes for specific podcasts.
3
Analyze specific podcasts for recommendations and meta information.

Description

The podcast-xyzrank-mcp is designed to help users discover and recommend podcasts by analyzing basic podcast data and play metrics. It leverages data from the '中文播客榜' to provide insightful recommendations and updates on various podcasts. Users can query for recommendations, updates, and specific podcast details using this MCP server.

Capabilities(6 total)

Tools (4)

getXyzRankPodcastData

获取并推荐今天的小宇宙播客排行，得到热门播客、热门单集、新锐播客、新锐单集推荐信息

getRSSByPodcastName

通过播客名字查询 rss 地址

podcastName:string*

parseRSSInfo

通过 RSS 解析播客节目

RSS:string*

getWebWorkerPodcastInfo

获取前端程序员都爱听的 Web Worker 播客节目

Prompts (2)

getFullData

获取热门播客单集推荐

getNewPodcast

获取热门播客推荐

Quick Actions

View on GitHub

Security

Scanned 3 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

C51/100

5/17 checks passed

Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.

Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities4 Tools / 2 Prompts / 0 Resources

OwnerOtto-J

CategorySearch & Retrieval

DependenciesStandalone

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