A
licenseNot graded
qualityD
maintenanceMCP server that extracts YouTube video transcripts (including metadata) as Markdown, enabling AI to summarize and discuss video content without watching it.
MIT
MCP Podcast Scraper
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TDQS
A3.6/5.0
Scored across 10 tools
Disambiguation4/5
Most tools have distinct purposes, but there is some overlap between 'scrape_podcast' and 'check_new_episodes' as both involve scraping episodes, which could cause confusion. However, descriptions clarify that 'scrape_podcast' is for manual scraping of specific episodes, while 'check_new_episodes' automatically checks tracked feeds, so the ambiguity is limited.
Naming Consistency4/5
Tool names follow a consistent verb_noun pattern throughout, such as 'add_tracking', 'check_new_episodes', and 'save_summary'. The only minor deviation is 'list_incomplete', which uses an adjective instead of a noun, but this does not significantly impact readability or consistency.
Tool Count5/5
With 10 tools, the server is well-scoped for podcast scraping and summarization. Each tool serves a clear purpose in the workflow, from tracking and scraping to transcription and summarization, without being overly sparse or bloated.
Completeness5/5
The tool set provides complete coverage for the podcast domain, including tracking management (add, list, remove), scraping and transcription, transcript retrieval, summarization with custom prompts, and saving summaries. There are no obvious gaps; it supports a full lifecycle from discovery to final output.
Maintenance
ActivityInactive
ResponsivenessNo issues