Podcast Crawler MCP

MCPOpen SourceMIT22.0

by infinitimeless • Workflow & Task Management

An MCP server that crawls the web to discover podcast RSS feeds and expose episode discovery tools for AI assistants.

Example Use Cases

1
Find podcast episodes on a specific topic by crawling directories and RSS feeds across the web.
2
Filter and retrieve episode metadata (title, description, publish date, audio URL) limited by topic or domain.
3
An MCP-accessible tool to integrate podcast discovery into assistant workflows such as content recommendations, summarization, or research.

Description

PodCrawlerMCP is an MCP server designed to help AI agents discover podcast episodes by crawling podcast directories and parsing RSS feeds. It extracts episode metadata and supports filtering by topic or domain to return focused results. The server exposes discovery functionality via MCP tools, making it easy to integrate with assistants like Claude for research, recommendations, and automation workflows.

Quick Actions

View on GitHub

Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

D44/100

4/17 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

Capabilities0 Tools / 0 Prompts / 0 Resources

Ownerinfinitimeless

CategoryWorkflow & Task Management

DependenciesStandalone