One use case where MCP has already been genuinely useful for me is tag curation.
Example: over time I ended up with inconsistent tags such as quick-lunch and quick-lunches (plus many similar cases). It doesn’t really matter how the inconsistency was introduced — manual tagging, AI suggestions, tags on import, existing tag assignment, etc.
Using Claude via MCP, I was able to identify these inconsistencies, consolidate, and clean up tagging across 200+ documents.
Of course, I burned through the quota doing this — but what I found valuable was not the bulk execution itself. It was the semantic review and decision support. I’m not sure I would have achieved the same result as easily with smart rules or scripting, because the problem wasn’t “apply rule X” but first recognizing that the taxonomy itself had drifted.