Clipto MCP gives Claude, ChatGPT, and other AI agents the ability to source clips and more from inside the videos, photos, and audio recordings stored on your computer. Instead of manually browsing files, simply describe what you need. For example, turn a script into a video by matching each sentence with your local footage; find every scene where someone mentioned a topic; create rough cuts; or search years of media as if you have a dedicated assistant editor.
Hi Product Hunt! 👋 Henry here, a few months ago, I launched @Clipto , a fully local AI media search engine that helps people search terabytes of videos, photos, audio, meetings, and documents using natural language.
Since then, one request kept coming up:
“Can Claude use Clipto?” “Can ChatGPT search my media library?” “Can my agent actually edit videos using my own footage?”
AI agents can already access your files. What they can’t do is understand what’s inside terabytes of media.
That’s what Clipto MCP changes. It gives AI agents semantic understanding of your local media, so instead of manually browsing folders or scrubbing through timelines, you can simply describe what you want.
Some examples:
🎬 Turn a script into a video by matching every sentence with relevant footage.
🔍 Find every clip where someone mentioned a specific topic.
🎤 Search years of meetings for a decision or discussion.
✂️ Generate rough cuts from thousands of hours of video.
Everything runs on the media already stored on your computer. No uploading your library to the cloud.
This is only the beginning. As AI agents become more capable, they’ll need more than file access. They’ll need to understand the content inside our personal media.
To celebrate our launch, we're offering 1 month free to anyone who signs up this week with code PHLNCH.
We’d love to hear what you’d build with Clipto MCP.
We’ll be here all day answering questions and collecting feedback.
Terabytes of local video is exactly the pain – my footage folder is a monster and searching it is hopeless. Does it need everything indexed first or can an agent search cold? Curious how long a first index takes
2tb indexed in a day is wild 🤯 local search finaly usable. agencies your main users?
Not having to manually dig through folders before giving context to AI is a pretty big workflow improvement.
Super exciting launch. Congratulations! The idea of AI agents directly tapping into TB‑level local media feels like a real step forward. How do you see creators using this for everyday workflows?
This sounds useful for large media libraries, but how long does it take to analyze and index several terabytes of footage? Can I continue using my Mac during the process, or will it consume most of the system resources?
I immediately thought about interview footage. Finding every time someone talked about a specific topic could save hours.
Claude and Cursor can already read local files. Why do I need Clipto MCP in between? What does it actually add?
Such a smart idea that addresses a real pain point. The hardest part of putting together a demo video is looking for that particular screenshot called "Screenshot 2026-08-19 at 12.04.44 PM" or video named "858551D6-F8A4-4CE0-9A71-DC6EF6DDD2A5" 🤦🏻♀️
I'm excited to try Clipto's NPL search for this and curious if the tags work!
This feels especially useful for projects where the context is spread across dozens or hundreds of files.
I like the new use case for the application! Because photos are easier to store than ever, I find it harder to find what I'm looking for in my camera roll than before.
Congrats on the second launch. That music video went out as the raw first output, no cleanup at all. Takes some nerve to show the actual thing rather than the polished version.
Sourcing clips from local video terabytes using AI agents is a huge time-saver. Congrats on bringing this to life!
It’s pretty mind blowing that it can work with local files like this. Is the multimodal model understanding the content? If that’s the case, I could feed my local videos directly into it for editing. That would really boost my efficiency. Honestly, this would’ve been unthinkable just a year ago!
I’d love to see more examples of Claude or Cursor taking the retrieved content and turning it into a finished project.
As someone with TONS of footage, not the best file organization (to be kind to myself about it) and content creation as a side project, I am really excited to try this one, congrats on the launch!
About Clipto MCP on Product Hunt
“Let agents source clips from terabytes of your local video”
Clipto MCP launched on Product Hunt on August 19th, 2026 and earned 463 upvotes and 112 comments, earning #2 Product of the Day. Clipto MCP gives Claude, ChatGPT, and other AI agents the ability to source clips and more from inside the videos, photos, and audio recordings stored on your computer. Instead of manually browsing files, simply describe what you need. For example, turn a script into a video by matching each sentence with your local footage; find every scene where someone mentioned a topic; create rough cuts; or search years of media as if you have a dedicated assistant editor.
Clipto MCP was featured in Productivity (658.9k followers), Search (18.1k followers) and Video (1.9k followers) on Product Hunt. Together, these topics include over 163.2k products, making this a competitive space to launch in.
Who hunted Clipto MCP?
Clipto MCP was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Clipto MCP stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina
Hi Product Hunt! 👋 Henry here, a few months ago, I launched @Clipto , a fully local AI media search engine that helps people search terabytes of videos, photos, audio, meetings, and documents using natural language.
Since then, one request kept coming up:
“Can Claude use Clipto?”
“Can ChatGPT search my media library?”
“Can my agent actually edit videos using my own footage?”
Today, we’re excited to launch Clipto MCP.
AI agents can already access your files. What they can’t do is understand what’s inside terabytes of media.
That’s what Clipto MCP changes. It gives AI agents semantic understanding of your local media, so instead of manually browsing folders or scrubbing through timelines, you can simply describe what you want.
Some examples:
🎬 Turn a script into a video by matching every sentence with relevant footage.
🔍 Find every clip where someone mentioned a specific topic.
🎤 Search years of meetings for a decision or discussion.
✂️ Generate rough cuts from thousands of hours of video.
Everything runs on the media already stored on your computer. No uploading your library to the cloud.
This is only the beginning. As AI agents become more capable, they’ll need more than file access. They’ll need to understand the content inside our personal media.
To celebrate our launch, we're offering 1 month free to anyone who signs up this week with code PHLNCH.
We’d love to hear what you’d build with Clipto MCP.
We’ll be here all day answering questions and collecting feedback.
Thanks for giving it a try! 🚀