Underneath the RSS triage app is a Fever-compatible API for serving feeds to readers (or the built-in one) and alongside that is an MCP that manages all the scoring and associated reporting.

I added some tools over the weekend:

• rss_candidates_assess — Shallow-score candidate feeds from OPML, URL list, or HTML page against my interest profile
• rss_candidates_deep — Deep pass on assessed candidates: fetches real articles, scores through the pipeline
• rss_candidates_dismiss — Mark candidates as not interesting
• rss_candidates_subscribe — Promote candidates to real subscriptions

I’ve been grabbing OPML from sites like ooh.directory and dragging them into Claude Desktop where the MCP does a shallow pass against headlines, suggests some likely candidates, then does a deep pass on the stronger ones by pulling actual articles.

I found some pretty interesting management blogs this way, and it’s helpful for sifting through long, general lists. Because everything hits the scoring queue and triage is easy, it feels less risky to just grab a bunch on their speculative quality and know they’ll get sorted out after a little while.

I also built an endpoint to feed a URL in via a bookmarklet (or eventual browser extension), so the traditional “subscribe to this site” bookmarklet gets a makeover by using the scoring pipeline to offer a quick summary before categorizing and subscribing.

I dunno … it seems to be encouraging me to subscribe to stuff, and my reading list is diversifying. Seems good.