Our team has tons of old demos, interviews and campaign videos that basically disappear once the campaign is over.
Being able to search that archive and pull old moments back into new content is surprisingly useful.
There’s a lot of good stuff sitting on drives that we just forget exists.
Coldtea.ai
Looks cool! How well it handle the large media libraries ? Does performance stay consistent when searching through tb of files ?
Clipto
@farhan_nazir55 Good question! Once your library has been indexed, search performance stays fast and consistent, even across terabytes of media. The more challenging part is the initial analysis and indexing. We’ve added several processing modes so you can balance speed and system usage, allowing Clipto to work through a large archive in the background while you continue using your Mac/PC normally.
Acti
Claude and Cursor can already read local files. Why do I need Clipto MCP in between? What does it actually add?
Clipto
Acti
@matthewwei That makes sense. But when I search my local media through Claude or Cursor, what actually leaves my Mac? Are the original files uploaded, or does the Agent only receive the search results?
Clipto
@axelkane Absolutely right. Frankly, if your workflow consists of a few specific and relatively short videos, these agents can handle it perfectly well—but when you're dealing with a lot of large files locally, Clipto comes in handy.
I’d be interested to see this with a really messy archive — random filenames, old projects, mixed audio and video.
Clipto
@sancijun That’s the kind of library Clipto is built for. Filenames and folder structures only help when you already know what you’re looking for. Clipto looks at what’s actually inside the files, so even a messy mix of old projects, audio, and video can become searchable through natural language.
I immediately thought about interview footage. Finding every time someone talked about a specific topic could save hours.
Clipto
Clipto
@meixian_li That’s a great use case—and it can go much further than finding and locating moments. For interview and podcast production, we’ve tested a complete cleanup workflow on a master recording through MCP.
Clipto provided precise, millisecond-level timestamps, allowing the Agent to remove filler words while keeping the conversation natural and coherent. The result was a clean version that was almost ready to use. We think this could save creators a huge amount of tedious editing time.
Documentary editors sitting on hundreds of hours of footage are probably going to appreciate this one.
Clipto
@yuchengjee Absolutely. Documentary was actually one of the use cases we had in mind from the beginning. When you’re sitting on hundreds or even thousands of hours of footage, being able to ask an agent for a specific moment instead of scrubbing through it all can completely change the workflow.
Macaly
2tb indexed in a day is wild 🤯 local search finaly usable. agencies your main users?
Clipto
@petrkovacik Thanks! Agencies are definitely a strong fit, especially when they have years of footage spread across different clients and projects. But we also see independent creators, editors, podcasters, and researchers using it.
The common thread isn’t company size—it’s having enough media that folders and filenames stop being useful.
Acti
Connecting Clipto directly to ChatGPT, Claude, or Cursor through MCP makes a lot more sense than building yet another separate AI chat.
Clipto
@inith271 Exactly. That’s a big part of the thinking behind MCP for us. We don’t want to build another AI chat interface. We want to make the media understanding Clipto already has available to whichever agent you prefer to work with. Thanks Aharon!