"Tools for speech generation, video translation, and voice conversion" matching MCP tools:

• change_voiceA

  HermosoA

  Swap the narration of a finished video into a different voice — keeps the performance, lip-sync, and background sound. Use when the user likes the video but wants a different narrator voice; use dub_video only for language translation. Paid; returns the served URL.

  ConnectorNo auth

• analyze_video_reportA

  switchA

  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 of the file, 3 tokens per second with a 30 second minimum. Re-running the same video and question returns the existing report without charging again. 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.

  ConnectorNo auth

• clipform_generate_videoA

  ClipformA

  Generate a video from images, video clips, or both, synced to an audio track. Use this for narrated question backgrounds, topic visualisations, or any form node that benefits from video. Combine with clipform_generate_tts for narrated audio and clipform_search_media for royalty-free images. Creates 9:16 (720x1280) with Ken Burns pan/zoom effects and transitions. Returns a public URL when complete. Items: type "image" (Ken Burns motion) or "video" (cover-cropped, muted by default). Duration matches audio_url or set duration_seconds explicitly. For multi-question builds, pass wait: false on every render: each call returns a job ID immediately, so all renders run in parallel - then collect URLs with clipform_check_render. Sequential waiting renders take 15-120 seconds EACH. Choosing a render tool: for a recognisable form/quiz beat (guess-the-city, this-or-that, mystery reveal, multiple choice, photo montage...) reach for a video template first (clipform_list_video_templates + clipform_render_video_template) - it is a one-call recipe. Use clipform_generate_video for a narrated or audio-synced media montage (images/clips timed to a voice track). Use clipform_render_composition only when neither fits and you need a custom layer stack. Montage disambiguation: choose clipform_generate_video when the montage is narrated or synced to an audio track; choose the slideshow video template when it is silent (motion + transitions only, no voice-over). A render for a form node is not done until it is attached to that node. Pass node_id (and form_id) so the completed render attaches itself automatically - do not poll clipform_check_render to completion or manually chain clipform_upload_media_asset + clipform_attach_node_media; fire the render and move on.

  Connector

  Destructive

  No auth

• propose_montageA

  UwearA

  ONLY for video montage/stitching/export workflows. Use when the user explicitly asks to create a montage, stitch clips, make a reel, export a video sequence, make video clips from images, or combine images/videos into one final video. Never use this for a photoshoot, lookbook, product shoot, collection shoot, outfit shoot, garment shoot, or image-generation request; those must use request_user_context followed by propose_brief/update_brief. Do not call this merely because selected context contains images, generations, garments, or models. A photoshoot may later feed a montage, but the photoshoot itself must be proposed as a BriefProposal first. PROPOSES the montage for user review — user can edit clips, generate missing videos, then export. Supports: existing videos with optional trim (`target_duration` or `start_time`/`end_time`), images that need video generation (specify video_model + a bespoke per-image motion prompt, and optionally `target_duration` or `duration`), per-clip speed/mute, global aspect ratio. If the user asks for clips to be e.g. '3 seconds each', set `target_duration: 3` on every item, including image items. For image items, avoid generic repeated prompts: tailor each prompt to the specific image and any requested zoom, movement, energy, or camera direction. If motion is not specified, inspect the image first with view_image and then write a fitting motion prompt from the image content before proposing. The user reviews and confirms in the UI. Export is free (0 credits); video generation clips cost credits per their model.

  ConnectorNo auth

• oruk_analyze_speechA

  oruk SpeechA

  Transcribe English audio AND score how it was said in one call: transcript, tagged transcript, selected scores from 15 emotion and 16 speaking-style labels, and time-local segments. Use this when the user cares about both the words and the delivery — meetings, support calls, interviews, voice notes. Accepts wav/flac/mp3/m4a/ogg/webm. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Returns compact summaries by default. For words only use oruk_transcribe_audio; for tone only use oruk_analyze_tone.

  ConnectorNo auth

• submit_video_jobA

  Autosophia Agent VideoA

  Turn a script into a finished 1080p video — narrated, cut to matched stock footage, subtitles burned in, audio normalized to −14 LUFS. Returns a job id; poll get_job, then fetch_video. Use when you need a publishable video and have only text. $0.60 per video in USDC on Solana — no account, no API key, no human in the loop. script: narration body to speak (plain text) title: optional intro title shown for ~4s at the top voice: voice id from list_voices(), e.g. female_warm subtitles: burn-in subtitles (default true) speed: narration speed multiplier, e.g. 1.0 seed: stock-selection seed for reproducible visuals, e.g. 7

  ConnectorNo auth

• plan_product_adA

  Claude ImagineA

  Plan a complete product-photo workflow: two image directions from one original product photo, user selection, then a short video. Returns exact account prices, prompts, budget guidance and output checks. Free: never starts a generation. Use before making product ads or product videos.

  ConnectorOAuth

• get_my_active_referencesA

  switchA

  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.

  ConnectorNo auth

• nwd_export_reportA

  Navisworks MCPA

  Build a coordination report for a translated Navisworks model: translation status/progress, derivative outputs, available views (2D sheets / 3D viewables), total element count, and a per-category element breakdown. Doubles as the canonical way to poll translation status after nwd_upload. When to use: after nwd_upload to check whether translation has completed before calling clash/object tools; at the end of a coordination session to generate a status snapshot for the weekly BIM report; when auditing a model revision to confirm expected element counts per discipline. When NOT to use: do not use for a per-element property dump — use nwd_list_objects; do not use for clash results — use nwd_get_clashes. APS scopes required: viewables:read data:read bucket:read (read-only). Rate limits: APS default ~50 req/min per endpoint; this tool issues up to 4 sequential APS calls (manifest, metadata, properties — two with retry). When polling for translation completion, backoff: 5s, 10s, 30s, 60s, 120s — Model Derivative NWD translation typically completes in 1-10 min but large federated models can take 20+ min. Errors: 401 APS token expired (retry); 403 missing scope (report); 404 URN not found (model was never uploaded or bucket TTL expired); 409 N/A; 422 translation failed permanently — inspect report.translation_status == "failed" and report.derivatives[].status; 429 rate limit (backoff); 5xx APS upstream (retry once). Property extraction may legitimately 202 "isProcessing" — the tool handles retry and then silently swallows to still return manifest/metadata (element_count will be 0 until properties index is built). Side effects: none. Pure read. Idempotent — report reflects current APS state. Logs usage to D1 usage_log.

  ConnectorNo auth

• animate_segmentA

  framesailA

  Animate one segment in a single call: flip it to a generated video shot (keeping its rendered image as the clip's first frame) and START the clip render immediately. BILLS video credits on this call — the segment's image must already be rendered (400 otherwise). A refused generation (out of credits, already running) rolls the flip back, so the segment is either animating or exactly as it was. This is the ONLY way to a generated video (voice=true for a Talking Head) — change_segment_type refuses that target; it owns the other kind switches (real media, overlay scene, back to a still — segment_type "image" with carry_frame=true reverts an animated shot for free). Async — returns {ai_job_id, segment}; await_jobs until the clip completes.

  ConnectorNo auth

• upload_mediaA

  mcpA

  Upload a local image, video, or audio file to BudgetPixel and get back a short-lived URL (valid ~24h) to use as a generation input: pass it as an input_images value on generate_image, or as image / end_image / reference_images / video / audio on generate_video. Use this when the user has a LOCAL file: read the file and pass its base64 as 'file'. Not charged; max 50MB. Video/audio inputs REQUIRE this (generate_video takes them by URL only). If you already have a public URL, pass it straight to the generate tool instead.

  ConnectorNo auth

• generate_voiceA

  HermosoA

  RAW text-to-speech from the voice-model catalog: speak a script in a chosen voice and return the served MP3 URL. For a standalone voiceover / narration clip — NOT for adding audio to a video (render_ad and generate_video voice their own spots; change_voice re-voices a finished clip). engine picks the voice model (default 'seed-audio'; also 'eleven-v3', 'minimax-speech', 'kokoro'); voice is a preset name from that engine (see hermoso_capabilities → voice engines) — a name that engine does not have is REFUSED for free with its real list, and a few engines generate their own voice and take no preset at all (the reply says which voice actually spoke). Paid (a couple of credits by length; ≤900 characters).

  ConnectorNo auth

• fix_beatA

  HermosoA

  Surgically re-render ONE time window (1.5-8s) of an existing rendered video and splice it back on the VIDEO TRACK ONLY — the rest of the video and ALL audio stay byte-identical. Use when one beat/shot is broken ('the shot at 8 seconds glitches') and a full re-render would waste the parts that worked; bills only the replacement clip's seconds (~1/3 of a full render). Do NOT pick a window covering spoken dialogue (a video-only splice under speech breaks lip-sync) — pass speechWindows to enforce this.

  ConnectorNo auth

• voiceA

  switchA

  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.

  ConnectorNo auth

• editVideoA

  Ludo AI Game AssetsA

  Edit a previously generated video with a text prompt and optional reference images (video-to-video). Pass the video `url` you received from `createVideo`, `createVideoFromReferences`, or an earlier edit - it must be a video you generated within the last 7 days; arbitrary external videos are not accepted. Optionally add up to 5 reference `images` (URL or base64) to guide the edit. The job result is the new video URL and its actual duration in seconds. Credits are charged only on success, based on the produced duration and never more than the duration you requested. Pass an optional `request_id` to tag the result so you can locate it later via `GET /assets/videos/results`. Related tools: `createVideo` to generate the source clip, `createVideoFromReferences` for reference-driven generation. Requires an API key (user scope). Returns 202 with a job id immediately; poll `getApiJob` (pass `wait: 30`) until status is succeeded, then read its `result` field, which is exactly the response documented for this operation. Each account may have up to 50 generations queued or running at once; beyond that submissions return 429 (PENDING_JOBS_LIMIT) - wait for jobs to finish. Credits: cost varies by model and duration (credits/sec): Eagle 2/s, Forge Pixel 2/s (min 4); see this endpoint's full pricing table in the API docs.

  ConnectorNo auth

• createVoiceA

  Ludo AI Game AssetsA

  Design a new voice from a character description (such as "deep-voiced warrior" or "cheerful young girl") and have it speak a short line of text, returning a sample of that newly created voice. Both voice_description and text are required, the spoken text is limited to 200 characters or the call returns HTTP 400, and type selects "human" or "non-human" voices. The job result is a single audio result containing a URL; there is no separate polling step. Credits are charged on success. Use this to invent and audition a voice from a description; use createSpeech for text-to-speech that clones a specific voice from an audio sample, and createSpeechPreset for text-to-speech using a named preset voice. Pass an optional request_id to tag the result so you can locate it later via `GET /assets/audio/results`. Requires an API key (user scope). Returns 202 with a job id immediately; poll `getApiJob` (pass `wait: 30`) until status is succeeded, then read its `result` field, which is exactly the response documented for this operation. Each account may have up to 50 generations queued or running at once; beyond that submissions return 429 (PENDING_JOBS_LIMIT) - wait for jobs to finish. Credits: This endpoint consumes 1 credits per call.

  ConnectorNo auth

• toggle_moduleA

  BorealHostA

  Enable or disable an AI module on a site. The module must be in the plan's available module list. Requires: API key with write scope. Args: slug: Site identifier module_name: Module to toggle. Available modules: "chatbot" (AI chat widget), "seo" (SEO optimization), "translation" (content translation), "content" (AI content generation) Returns: {"module": "chatbot", "enabled": true, "message": "Module enabled"} Errors: NOT_FOUND: Unknown slug or module not in plan VALIDATION_ERROR: Invalid module name

  ConnectorNo auth

• change_segment_typeA

  framesailA

  Change what a segment's base visual IS: a generated still ("image"), fetched real media (media_source="real" — a real photo for "image", stock b-roll footage for "video"), or an overlay scene. Generated video is NOT set here — it's the state a rendered still reaches through animate_segment (voice=true for a Talking Head), and a "video" target without media_source="real" is refused with that guidance. segment_type "image" with carry_frame=true reverts an animated shot back to its still for free. media_source="real" turns the shot into fetched media with no start frame and no generation. carry_frame=true reuses the already-rendered image instead of recreating it; ignored for a real target. SFX and overlays always survive a type change. dry_run=true previews what would be kept / staled / recreated / deleted before you commit.

  Connector

  Destructive

  No auth

• list_avatarsA

  JobMojitoA

  [Admin] List available avatar/voice templates. Each item's `type` decides the interview modality: `interactive_elevenlabs` = voice-only (no video avatar); `interactive_heygen` = realtime interactive avatar (video); `offline_heygen` = pre-recorded, non-interactive avatar. An item's `id` is the `interview_template_id` you pass to the create-interview tools, so pick the template whose type matches the experience you want. Note: `offline_elai` and `offline_synthesia` are legacy integrations that may still appear here but cannot be used to create new interviews. Rows are large, so this returns 15 at a time; page with `offset` while `pagination.has_more` is true, or narrow with `type`/`filter_text`. Paginated list of a merchant's avatar templates (the admin-portal avatars list), scoped to your token's merchant (or a merchant_id override). Capped at 1000 records per page.

  ConnectorNo auth

• voiceover_batchA

  CluesoA

  Set voiceover text and/or trigger speech generation for any number of clips in a single call. Each entry chooses its own action: - "set_text" — set transcript for a clip (clip_index + text) - "generate_speech" — async TTS for a clip (clip_id; returns immediately) - "set_and_generate" — set text and kick off TTS in one entry (clip_index + clip_id + text) Entries within one call are applied in order. Returns one result object per input entry. All text-set actions land in ONE save; the TTS for generate/set_and_generate runs async per clip after. IMPORTANT — generating speech retimes the clip: when audio is generated (generate_speech / set_and_generate), the clip's duration is reset to the spoken audio length (auto-fit). Any element start/end times you authored against a planned duration then play against that new length, and element time past the audio end is cut. So size timings against the spoken length: estimate it up front with estimate_duration (or generate speech BEFORE placing time-sensitive elements), then read the clip back after generation to confirm its final duration. Concurrency: parallel-safe (conflict domain: a clip's voiceover). The server merges each clip's voiceover under a per-guide lock and preserves that clip's elements, so you can fan voiceover work out across subagents by clip — and it's safe to run alongside element edits. Two edits to the SAME clip's voiceover serialize. Do NOT run concurrently with whole-clip/whole-project mutations on the same guide (update_clips on that clip, structural clip ops, add_audio, update_project).

  Connector

  Destructive

  No auth

• video_to_audioA

  Media Generator — Images, Videos & AudiosA

  Input: A muted video URL along with a textual prompt describing the desired audio. Output: We will return the video URL with the applied audio. Functionality: This tool now takes a muted video and a text prompt as input. It generates an audio track based on the provided prompt and applies this audio to the video, resulting in a video with integrated sound. Steps: 1. We will get the user_id from the request context. 2. We will validate the user's generation tokens. 3. We will call the Audio Application API with the muted video URL and the provided prompt. 4. The API will generate the audio from the prompt and merge it with the muted video, returning a JSON response with the updated video URL. 5. We will return the updated video URL to the user. INSTRUCTION FOR CLIENT MODEL: - Extract the required input parameters 'video_url' (type: string, URL) and 'prompt' (type: string, describing the desired audio) from the user's prompt. - Ignore any extraneous information in the user's input. - Pass the extracted values to this tool as 'video_url' and 'prompt'. - Example: For user input "Add dramatic orchestral music to this video https://example.com/video.mp4", extract 'video_url' as 'https://example.com/video.mp4' and 'prompt' as 'dramatic orchestral music'.

  ConnectorOAuth