MCP example scenarios

Below are typical conversations with an assistant and the tools it calls along the way. The wording is free-form: the assistant understands requests in any language. Almost every scenario is free — your assistant edits the video, like Edit it myself in the app. Where a paid Slicer AI feature is needed, the assistant names the price first.

A video from a file on your computer#

Suits assistants that can run commands on your computer.

Make a 30-second reel from ~/Movies/interview.mp4 in the Bold style: remove the pauses, add captions and the hook "A reel in 3 minutes".

What the assistant does:

1. create_upload_link — creates an upload and a one-time link, then runs curl -T ~/Movies/interview.mp4 "<link>"; get_upload — waits until the file is checked.
2. create_project — creates a project without the AI director, free and with no confirmation; get_project — waits for the draft.
3. Captions need recognised speech, so transcribe_speech without confirmCost — gets the price, tells you the expected and the maximum amount and asks: "Shall I recognise the speech for captions?"
4. After your "yes" — transcribe_speech with confirmCost; get_transcribe_jobs — waits until recognition is done.
5. get_transcript — reads the video with its words; edit_project — cut_silences removes the pauses, trim_block and remove_block fit the video into 30 seconds, set_hook adds the hook; set_style — the Bold style.
6. Sends you a link to the project, tells you what came out and, after your "yes", calls export_video.

Only the captions from speech were paid; the upload, the project, the edits and the export are free.

A video from a link#

Suits any client — Slicer downloads the file itself.

Here's the talk recording: https://media.example.com/talks/launch.mp4 (opens in a new tab). Make a 15-second video from it — the brightest moment about the new feature.

The assistant calls import_from_url, waits for the upload with get_upload and creates a project. To find the right moment it needs to know what's said — so it offers captions from speech with the price, and after recognition keeps the right piece with edits and adds a hook. Without captions the assistant still builds the video, but picks the piece by the time you name.

A video from photos and clips set to music#

Free from start to finish: there's no speech, so captions from speech aren't needed.

Make a 9:16 draft from morning-1.mp4, morning-2.mp4, latte.jpg and track.mp3. Start with the photo, add the hook "Morning at the coffee shop", a title "Cappuccino in 3 minutes" over the second clip and soft transitions, with cuts on the beat. Then export it.

What the assistant does:

1. Uploads the files, as in the first scenario.
2. create_project — no price and no confirmation; the track goes onto the music lane by itself. get_project — waits for the draft status.
3. get_transcript — sees the fragments in upload order with their time in the video.
4. edit_project — move_block (the photo to the start), set_hook, add_title by time (start, duration), set_all_transitions with a fade, fit_music and fit_to_beats.
5. Tells you what came out and, after your "yes", calls export_video.

The same in one command — the edit_myself prompt.

Captions for an existing draft#

Add captions to the "Morning at the coffee shop" video and highlight the drink names. Tell me the price first.

list_projects → transcribe_speech without confirmCost (the price: expected and maximum) → your consent → transcribe_speech with confirmCost → get_transcribe_jobs until it's ready → get_transcript → edit_project with set_accent. You can also learn the price in advance — estimate_cost with kind: "transcribe" and projectId. If recognition fails, the tokens come back.

Editing text and design#

In the "New collection overview" video, highlight the color names, put a ✨ emoji at the start and add a list plaque "Three looks for the week".

get_transcript → edit_project with set_accent, set_emoji and add_plaque operations. Free; the assistant tells you if some edit couldn't be applied and why.

Make all fragments look like the first one — the same filter and transition — and use the frame at 0:05 as the cover, with the title "New collection".

get_transcript → edit_project with apply_look and set_cover operations. Free.

Make the captions bigger, the font poster, the color amber.

set_style — free; the new style appears in the file after export.

Make the spoken word pop in the captions.

set_style with subtitles: { highlight: "pop" } — free: the spoken word grows and lights up while the others make room. The design, size and other caption settings stay the same. Requests like "Let the words appear as they are spoken" (animation: "words"), "Show one word at a time" (words: "one") and "Use the Box design" (design: "box") work the same way — all the fields.

Export and publishing#

Export the video in 1080p and publish it to YouTube Shorts and Instagram Reels. Write the description yourself, hashtags — #editing #reels.

list_social_accounts → export_video with a profile and a list of publications → get_project until rendering is done. Free. The assistant shows you the description before publishing. TikTok isn't available over MCP — its rules require publishing from the Slicer app.

A batch from a folder#

Make a separate video in the Clean style from each video in ~/Movies/lessons, with a hook from the lesson title, and export them.

The assistant uploads the files, creates a project for each one, sets the style and the hook and exports — all for free. If you want captions from speech, it names the total recognition price first. For large batches, a script is more reliable — see the Batch processing recipe.

The assistant edits by itself, like a director#

The assistant can edit the video by itself and for free: it looks at the frames and writes the plan, and Slicer applies the rules of its AI director to the plan on the server and answers with what it corrected itself and what the assistant should fix.

Edit a video yourself in Slicer from ~/Movies/latte-art.mp4 and ~/Movies/cafe.mp4: 30 seconds, dynamic pace, hook "Latte art in a minute".

What the assistant does:

1. Uploads the files and creates a project without the AI director, as in the first scenario.
2. If there's speech — names the price of captions from speech and, after your yes, recognises it (transcribe_speech).
3. get_director_brief with pace: "dynamic" and targetDurationSec: 30 — the material by words and the plan and observation schemas.
4. get_frames — 8 frames per video first, then closer around the main action; it writes down what it saw as observations.
5. submit_director_plan — the plan and the observations; Slicer builds the video and answers with fixes and issues, the assistant fixes the plan accordingly and submits it again.
6. Fixes details with edit_project, sends a link to the project and, after your yes, runs export_video.

Only speech recognition was paid. In detail, with the direct_reel prompt — Your own director.

AI montage by the Slicer director#

If you want the video edited by the Slicer AI director rather than by your assistant, ask for it directly. The director picks the best moments, places captions, emoji, plaques and camera moves itself, then reviews and fixes the finished video. It's paid: 24 tokens per video up to 90 seconds; the first video is free.

Have the Slicer AI director edit the interview ~/Movies/interview.mp4: Bold, 30 seconds, dynamic pace.

What the assistant does:

1. Uploads the file, as in the first scenario.
2. create_project with mode: "ai" without confirmCost — gets the price and asks you: "An AI director montage costs 24 tokens. Shall I start?"
3. After your "yes" — the same call with confirmCost; get_project with waiting — follows the montage (usually 3–6 minutes).
4. Shows you the finished video and tells you what's in it. If you want the video from before a rebuild back — choose_version.

Rebuilding with other settings (remount_project) works the same way, at the montage price and after you agree. Retrying a failed run (retry_project) costs the same as the original run; a free run is retried for free.

Caption translation#

Translate the video's captions into Spanish.

Translation is a paid AI feature at cost: the assistant names the expected and the maximum price (translate_captions without confirmCost) and translates after you agree; the actual price is charged, never more than the maximum. The translation is laid out word by word, so accents and emoji stay in place; the new text shows up in the file after export.

Questions about Slicer#

How do I make a freeze frame in Slicer? And how much does background removal cost?

search_docs → read_doc — the assistant answers from these docs with a link to the page. Free.

What's next#