Switch MCP Server

ARRI Alexa anamorphic widescreen film look. Choose grade: warm golden, cool noir, or moody desaturated. Returns the styled prompt stack for your shot — pair it with generate_image.

Sharp graphic editorial portrait — premium fashion-magazine grade, hard graphic composition. Classic studio or golden-hour outdoor. Returns the styled prompt stack for your shot — pair it with generate_image.

High-fashion magazine cover/editorial energy. Choose a photographer mood: Mario Testino glossy, Steven Klein dark cinematic, Inez & Vinoodh hard-flash, Annie Leibovitz painterly, Tim Walker dreamlike, Peter Lindbergh black-and-white natural, or Cass Bird off-duty. Returns the styled prompt stack for your shot — pair it with generate_image.

Phone-shot amateur look — looks like a real person snapped it on their phone. Casual, candid, pore-level real, no professional gloss. Three flavors: digital phone, 35mm film point-and-shoot, or off-duty intimate. Returns the styled prompt stack for your shot — pair it with generate_image.

Golden-hour rim-light editorial portrait. Choose camera: Canon R5 + 85mm f/1.2 or Hasselblad H6D + 80mm. Returns the styled prompt stack for your shot — pair it with generate_image.

Put me in a movie — full cinematic film look matching specific film genres. Choose: neon-noir action thriller, 80s finance excess, comic-book superhero blockbuster, video-game key art, or generic action thriller. Returns the styled prompt stack for your shot — pair it with generate_image.

Product photography. Choose: clean studio hero shot, real-world lifestyle, extreme macro detail, or top-down flat lay. Returns the styled prompt stack for your shot — pair it with generate_image.

Luxury travel + hotel editorial. Real architecture is preserved exactly (no inventing buildings). Choose subject: hotel hero, rural property, scenic view, drone aerial, lifestyle moment, or interior. If you attach a reference image of a real property, the architecture lock kicks in automatically. Returns the styled prompt stack for your shot — pair it with generate_image.

User-generated content — looks like a real person captured it casually. Choose: phone shot, film point-and-shoot, mirror selfie, or car selfie. Returns the styled prompt stack for your shot — pair it with generate_image.

Wellness / yoga / fitness / lifestyle campaign — warm amber tropical, tropical paradise cinematic, or high-key cyan beach. Returns the styled prompt stack for your shot — pair it with generate_image.

Generate spoken audio from text: narration, a voiceover, a read-aloud script, or a multi-voice dialogue. Pass text (up to 2048 chars) — the words to be spoken. To speak in one of YOUR saved voices, pass voice with the voice NAME (or id): users speak plain language and never know ids, so resolve the name yourself (the voice tool, action "list", shows every saved voice) and never ask the user for an id. Reference voices, trained clones and preset voices are all routed correctly by kind. To match a voice instantly from a clip instead, pass reference_audio_url (a short clip) or up to 3 reference_audio_urls and address them as @Audio1, @Audio2, @Audio3 in the text for dialogue. Alternatively pass image_url to voice a scene from a picture (cannot combine with reference audio). Optional speech_rate (-50..100), pitch (-12..12), loudness (-50..100). Returns a playable audio_url, duration_seconds, and generation_id (also saved to your library).

Generate one or more Switch images. Auto-routes to the right model based on subject (Nano Banana 2 default, GPT Image 2 for swimwear/beach, Switch Model/Ultra/Pro for sexier content, Nano Banana Pro for typography-heavy). Counts <= 8 render inline in chat; counts > 8 queue to your Switch Studio with progress polling. All images persist to your Studio library and folder. Pass an optional `style` (e.g. "wellness/warm_amber_tropical", "high_fashion_editorial/testino_glossy", "movie_scene/neon_noir_action") to apply a curated photographic stack from the apply_* skill tools.

Generate Switch video across the real provider lineup (Kling, Seedance, Switch Video/WAN 2.7, Switch Video Edit, Topaz upscale) and modes (text-to-video, image-to-video, frame-to-frame, motion, omni, reference-to-video, video-edit, upscale). ALWAYS call list_video_models first to pick the right model + mode and see its required inputs. Pass one shot, or shots:[...] for a storyboard (max 4 by default, hard max 10) where EACH shot is DIFFERENT — never repeat one prompt to get copies. Renders async (~30-90s); a background job delivers each clip to your library. Returns a task_id per shot — poll get_video_status or list_my_videos.

Check the status of one of your video jobs by task_id (from generate_video) or job_id. Returns status, a viewable view_url when finished, or the error if it failed. Poll this every ~20s — do not loop rapidly.

List the video providers, models, and modes available to your Switch account, with each model's required inputs, allowed aspect ratios and durations, and a rough per-second cost. Call this before generate_video so you pick a real model + mode and supply the right inputs.

Turn one of your finished Video Analysis reports into ONE reusable generation prompt that recreates the source video's look, energy, pacing and mood, with a {your photo} placeholder where your own subject goes. Pass report_id (from analyze_video_report or list_vision_reports) or video_url (the exact source URL you already analyzed). Free: it rewrites the analysis you already paid for and never charges. If the video has not been analyzed yet, run analyze_video_report first. Optional focus: pass mode to control what the prompt describes, and engine to pick the model format — also free.

Switch Vision — watch and understand a video (or image) like a human and answer a question about it: scenes, subjects, actions, on-screen text, pacing, mood and sentiment. Pass video_url (a public https video URL, including YouTube) OR one of your own Switch videos (a video/asset id from list_my_videos / list_my_assets / upload_media). Add an optional question to focus the analysis (e.g. "what is the tone and energy?", "list the cuts and what each shot shows"). Use this whenever the user gives you a reference video and wants its style, energy, structure or content understood — for example before making a new video that matches it.

Run the FULL Switch Vision analysis on a video, the same premium report the Video Analysis page produces: it watches AND listens in three forensic passes and returns a structured report with every category: overview (scores and takeaways), a second by second timeline, audio, visual craft, story and retention, speech transcript, ready to run recreation prompts, and metadata. Pass video_url (a public https video URL, YouTube included) OR one of your own Switch video ids. For an external file also pass duration_seconds (YouTube and your own videos are measured automatically) because the analysis is billed per second. Optional question focuses the analysis. Returns a report_id right away; poll get_vision_report until status is succeeded (a few minutes). If it cannot finish, your tokens are returned automatically. For one quick question about a video use analyze_video instead; this tool is the full paid report.

Turn a video into a DEPTH MAP: a grayscale video where brightness encodes distance, used as a motion reference so a new generated subject moves exactly like your source clip. Pass video_url (a public https video URL) OR one of your own Switch video ids (from list_my_videos or list_my_assets). For an external URL also pass duration_seconds (the clip length; your own Switch videos carry it automatically) because the render is billed per second of video. Returns a task_id right away; poll get_depth_map_status until the download URL is ready (usually a few minutes). If the render fails, your tokens are returned automatically.

Check one of your depth map renders started with create_depth_map. Pass the task_id it returned. While rendering it reports processing; when finished it returns depth_video_url, a download link for the grayscale motion reference video. If the render failed, it says so and confirms your tokens were returned.

Get the full detail of one of your generations by task id — prompts, model, ref counts, saved/failed counts, ETA hint, asset ids.

Display the user's images inline — one or many. Users speak plainly and will NOT know asset ids; never ask for one, resolve it yourself. For "show me" or "show me my last image" call with NO arguments (shows the most recent image). For "show me my last 4 images / my last 10 pictures" pass count=N (returns a clean grid, up to 12). For a specific known image pass assetId. Renders a branded SwitchApp media card with a Download action per result; do not just print URLs. (Videos are not shown here — use list_my_videos and return the newest finished video's view_url, which plays.)

Upload one image into your Switch library in a single call. Pass `url` (any public https) OR `base64` + `mime`. Switch fetches/decodes it server-side, stores it, and returns a clean public URL plus the new asset id. This is THE way to use a photo the user attached in chat as a reference: pass the returned `url` directly into generate_image's reference_image_urls, OR into generate_video's image_url (image-to-video) or reference_image_urls (reference / omni video). The returned URL is provider-fetchable as-is — no presigned PUT, no curl, no confirm-upload step. Do NOT call get_my_active_references for a chat-attached photo; that strip only holds Studio-managed refs.

Upload an image, video, or audio reference into Switch cloud and get a ready-to-use reference URL. Pass kind=image|video|audio. Returns reference_image_urls / reference_video_urls / reference_audio_urls for generate_image and generate_video. Image and video references are also added to your active Studio reference strip (the same one your desktop uses) unless activate=false. PREFERRED for real files: call with presign=true to get an upload_url, PUT the bytes straight to it (no base64 through the model), then call again with confirm_path to verify and add it — works for image, video, and audio. base64/url is only for tiny inline files.

Fetch one of your finished Video Analysis reports by report_id (from analyze_video_report or list_vision_reports). Returns the complete structured report: overview scores and takeaways, the timeline of scenes, audio, visual, story, speech, the recreation section with every master prompt, and metadata, plus recreation_prompt (the ready to run prompt) at the top level. While an analysis is still running this reports processing; poll it every 20 to 30 seconds.

List your Video Analysis history, newest first: report_id, date, status, source kind, duration, engine, tokens charged, and each report's headline. Use it to find a past analysis, then pass its report_id to get_vision_report (full report) or video_to_prompt (just the recreation prompt).

Read the user's staged references in Switch Studio. Returns TWO groups: (1) the image-generation reference strip (typed face/body/outfit/scenery/product slots) under `refs`, and (2) the VIDEO-tab references the user staged in the Omni/Image video tabs (the @Image1/@Image2 strip) under `videoReferences`, with usable signed URLs. Call this before generate_image or generate_video whenever the user says "use my refs" or refers to images they staged in Studio (including "the images in my video tab"). To make a video from the video-tab refs, pass videoReferences.imageUrls into generate_video reference_image_urls (and videoUrls into reference_video_urls) in reference-to-video / omni mode. Refs marked alive:false are dead (stored file gone) and are already excluded from the usable url lists. NOTE: a photo the user just attached in THIS chat is in neither group — for that, call upload_media and use its returned url/asset id directly.

Return asset METADATA only (id, truncated prompt, model, created date), newest first. This does NOT display images and must NOT be used to show pictures — if the user says "show me / display my last image(s)", call show_media instead (it renders them; pass count=N for several). Use list_my_assets only when you need ids/metadata for another tool (e.g. move_asset) or a plain text list.

Check your daily Switch spending — what you have spent today, your daily limit, and what is remaining. Optionally pass an `estimatedCost` (USD) to also get whether you can afford it.

Stop one of your generation tasks by task id — works on queued AND running tasks. Already-saved images stay in your library; nothing is deleted or refunded. Returns how many images were saved out of how many you requested.

Browse the image-generation models available to your Switch account. Returns model id, display name, brand, and credits-per-image so you can pick one before calling generate_image.

List the folders in your Switch library (id, name, parent). Use this to find an existing folder before move_asset or create_folder.

List your recent and active generation tasks. Returns counts per status (pending / running / completed / failed) plus an array of your tasks with id, status, prompts, model, ref counts, scheduledAt, finishedAt.

Polling-friendly status check for one of your tasks. Returns a slim shape with `status`, `progressPct`, and `eta` so you can poll without refetching the full payload.

Search your library by prompt substring (metadata only — id, prompt, date). Optional folderId scopes to one folder. Only your own assets are returned. This does NOT display images; to show/display results to the user, pass their ids to show_media.

Lip-sync audio onto one of your videos. RECOMMENDED: action="create" with engine="best" + video_url + sound_file (base64 data URI) — syncs the whole clip on the highest-quality engine, no face step needed. Kling flow (manual timing control): (1) action="identify-face" with video_url (MP4/MOV, 2-60s, <=100MB, 720p/1080p); (2) action="create" with session_id + face_id + audio + timing IN MILLISECONDS (sound_start_time, sound_end_time, sound_insert_time) + optional speech_volume/original_audio_volume (0-100); (3) action="status" with the task_id to poll — returns a branded SwitchApp view_url when done. Charges credits on create; failed jobs are refunded.

Stitch several of your Switch videos together into ONE video, played back-to-back in the order you give. Pass clip_asset_ids: an ORDERED list of your video ids (get them from list_my_videos) — the first id plays first. Optional orientation (landscape|portrait|square), fps, quality. Renders the combined video with ffmpeg and returns the finished, downloadable video url right away (also saved to list_my_videos). Use this whenever the user wants to combine, join, merge, or concatenate multiple clips into one.

Turn a face photo into a lip-synced talking-head video that speaks your text (or your audio). Provide image_url (a clear face photo) and either script (text to speak, max 2500 characters) or audio_url. Optional voice_id / language / voice_settings. Renders in ~1-5 minutes (single call, returns the finished branded video) and is saved to your library. Charged per video.

List your recent Switch videos, newest first — id, status, prompt, model, and a viewable view_url for finished clips. Use this to check whether videos finished and to let the user choose which one they want.

Your saved voices — one tool for the whole voice library. Users speak plain language and never know ids: resolve every voice by NAME yourself (call action "list" first if unsure) and never ask the user for an id. action="list" returns every saved voice with voice_id, name, kind and ready — kind "reference" is an instant voice match saved from a clip and kind "clone" is a trained voice (both speak through generate_audio: pass the NAME as its voice param); kind "avatar" voices drive talking_avatar_video. action="create" saves a NEW reference voice from a clip: voice_name plus audio_url (e.g. the url upload_media returned) or audio_base64 (+ format) — free, ready instantly. action="rename" renames a saved voice (voice_id takes the id OR the current name, new_name is the new name). action="clone" registers a voice for talking_avatar_video from audio_sample_url + voice_name (charged 2 credits). action="delete" removes a voice by voice_id or name.