Using an agentic video editor on Mac, Windows or Linux
Choose between a native Mac timeline and a remote editing engine. Understand where footage lives, what your assistant can access and how to test a complete cloud video workflow.
choose_your_workspace.movThe Klo platform guide covers the native apps and cloud route. The operating system of your chat app and the location of your editor are separate choices. A Windows laptop can direct an editing engine on a server. A Mac can run a native timeline against local camera files. The right choice depends on where the footage lives and how you want to review the result.
When a native Mac timeline fits
Klo’s desktop application gives you a timeline you can inspect and adjust by hand. It works with source files on the Mac, which is useful for large local shoots, attached drives and quick manual revisions. An agent can make edits through the app’s tools while you keep the project visible.
Local source storage is not a claim that every AI operation stays on the device. Provider-backed features can send the relevant audio, frames or other material for processing. Choose the workflow based on the operation and the privacy policy, rather than treating “desktop” as synonymous with “offline.”
When Cloud MCP fits
Cloud MCP gives a compatible assistant access to a remote project, media library, timeline, preview and export. You do not need to run the native Mac app for that route. The server performs editing and rendering; your assistant directs it through authenticated tools.
That makes a cloud workflow possible from Windows or Linux when your chosen client supports the required remote connection. A phone can participate through a supported assistant and browser upload or delivery page, but mobile attachment transfer and playback need their own check. Klo Cloud is not a promise that every chat app, plan or mobile surface has identical capabilities.
What MCP does and does not standardize
The MCP server model gives applications a structured way to expose tools and data. An editing tool has a schema describing its inputs and a result describing what happened. The protocol does not decide whether a host can extract your chat attachment, show a video player or notify you after a long-running edit.
Use the setup instructions for the specific client. For Claude, see the Claude video-editing guide. For another assistant, start with Klo’s connector guide and confirm its current remote MCP and OAuth support. Do not paste a configuration intended for a local desktop server into a remote connector without checking the transport.
Test the route with one small clip
- Connect the correct account and list its projects.
- Transfer one original clip through a supported upload route. Confirm the new file and duration in the project.
- Request a simple cut with preserved dialogue and an explicit output format.
- Inspect a preview, then export. Open the completed file on the device where you intend to review it.
- Request one revision against the same project. Confirm that the earlier deliverable remains available.
This small test catches account, transfer and playback problems before a large edit. It also gives you an honest basis for deciding where the workflow belongs. A successful connection alone is not the same as a successful video delivery.
Choose for the working day
Use the native Mac editor when hands-on timeline control and nearby source files matter most. Use Cloud MCP when you want your existing assistant to manage a remote edit and your media can be uploaded. In either case, preserve originals, inspect the actual cut and keep the project for the next revision.
Is Klo available on Windows or Linux?
Klo’s native desktop application is for Mac. Klo Cloud MCP runs the editing engine remotely, so it can be used from a supported assistant client on another operating system. This is not a native Windows or Linux Klo app.
Can I use the same MCP setup in every AI assistant?
No. Each client needs compatible remote MCP transport, authentication and tool support. Attachment transfer, approvals, background follow-up and file display vary, so test the complete workflow in your chosen client.

