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Using my RSS reader to find travel recommendations

A developer used an MCP server to connect their Miniflux RSS reader to Hermes Agent, an AI agent from Nous Research, to generate travel recommendations for London by searching followed blogs and articles. The setup required disabling Miniflux's automatic cleanup by setting CLEANUP_ARCHIVE_READ_DAYS and CLEANUP_ARCHIVE_UNREAD_DAYS to -1, as old articles were being deleted. The approach leverages trusted sources in the RSS feed to filter travel suggestions.

read1 min views2 publishedAug 31, 2026

Published on Aug 31, 2026

Admittedly that sounds a bit weird but using the people / blogs / resources you are following in your RSS reader is actually a great filter for narrowing down the search on a given topic.

  • I already value these people's opinions
  • I sometimes remember that person x wrote about topic y

I'm planning a city trip right now and I was wondering what people I follow in Miniflux (My RSS reader of choice) are writing about that topic so I've set up an MCP server that can talk to the Miniflux API.

Once that was ready I just connected it to my Hermes Agent and asked it to summarize which places in London are interesting. As Miniflux doesn't have embeddings or a good vector search the agent is just issuing simple searches like "London" to get all items that could be relevant from Miniflux. Once it has a bunch of candidates it can do deeper research on that specifically and also follow the links mentioned in the feed item.

This worked pretty well, even though I realized that I had cleanup enabled on my Miniflux instance, so old articles that are not "starred" are automatically removed. I've changed that now by setting the following Miniflux environment variables.

CLEANUP_ARCHIVE_READ_DAYS=-1
CLEANUP_ARCHIVE_UNREAD_DAYS=-1
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