"Turbo" matching MCP tools:

• lamina_generate_video

  lamina

  Dispatch a single atomic video generation. Sibling of `lamina_generate_image` — same shape, but outputs a video URL. WORKFLOW: (1) `lamina_models_list({ modality: "video" })` → pick a model. (2) `lamina_models_describe({ modelId })` → read its flat `paramSchema` to learn required inputs. (3) `lamina_generate_video({ model, prompt, params })` → dispatch, get runId. (4) `lamina_status({ runId, wait: true })` → poll until completed; the response has `output.url`. ONE TOOL, EVERY VIDEO OPERATION. Model id selects the operation; `params` matches the model's paramSchema: • Text-to-video — Kling t2v variants, Wan-2.6-text-to-video, Wan-turbo, Minimax, Seedance t2v, Veo3-text-to-video. Just `prompt` (+ duration / aspectRatio / etc. per the model). • Image-to-video — Kling i2v variants, Wan-2.6/turbo image-to-video, Minimax i2v, Seedance i2v (uses `startImageUrl`), `happy-horse-image-to-video`, `veo3-image-to-video` (sync). `params` includes `imageUrl` (or `startImageUrl` for Seedance, `firstFrameUrl` for Veo3 first-frame). • Keyframe — `veo3-keyframe-to-video` (sync). `params` requires `firstFrameUrl` AND `lastFrameUrl` — model interpolates between them. • Motion-control — `kling-v26-motion-control`, `kling-v26-motion-control-pro`. `params` requires `imageUrl` (character) AND `videoUrl` (motion reference). • Video-to-video (edit) — `wan-video-to-video`, Kling v2v variants. `params` requires `videoUrl` (source). • Reference-to-video — Kling/Seedance/Wan reference variants. `params` uses `referenceImageUrls`. INPUTS: • `model` (required): a model id from `lamina_models_list({modality:"video"})`. • `prompt`: most models require it; some (motion-control variants) are optional. Check `paramSchema.prompt.required` from `lamina_models_describe`. Some models omit `prompt` from `paramSchema` entirely (prompt-less). • `params`: model-specific fields per the model's `paramSchema`. Required URL fields vary by operation — see list above. • `webhookUrl` (optional): HTTPS URL for HMAC-signed completion POST. • `includeCitationKit` (optional, PREVIEW): set `true` to request a citation-ready kit alongside the video — cleaned transcript, question-formatted chapters, a 30–60 word summary, and drop-in `VideoObject` JSON-LD — so wherever you host the video it is answer-engine-citable. Preview signal only: it records interest and returns a `coming_soon` note; the kit is not yet produced. RESPONSE: `{runId, status: "queued"|"completed", model, mode, prompt, resolvedParams}`. `mode` is the resolved operation. Pass `runId` to `lamina_status`. If `includeCitationKit` was set, the response also carries `citationKit: {status: "coming_soon"}`. SYNC vs ASYNC: identical contract. Veo3 variants (`veo3-text-to-video`, `veo3-image-to-video`, `veo3-first-frame-to-video`, `veo3-keyframe-to-video`) are Vertex-backed and complete in seconds. fal-backed models queue and take 30s–5min. `lamina_status({ wait: true, timeoutSeconds: 240 })` handles either transparently. ERROR HANDLING: same shape as `lamina_generate_image` — `code` + `details.errors[]` with `field` + `allowed`/`range`/`got`.

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• sol_priority_fee

  swaptitan

  Live Solana priority-fee oracle: current microLamports/CU percentiles and recommended low/medium/high/turbo tiers. Call before sending any Solana transaction.

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• clone_voice

  Sats4AI - Bitcoin-Powered AI Tools

  Clone any voice from a single audio sample. Returns a reusable voice_id for text_to_speech — speak in the cloned voice indefinitely. High-fidelity reproduction capturing tone, cadence, and accent. Turbo (faster) or HD (higher quality) modes. 7,500 sats per clone. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='clone_voice'.

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• aetherwave_generate_image

  AetherWave Studio

  Generates one or more images from a text prompt (T2I) or a text prompt + reference image(s) (I2I). Submits the job, polls until terminal, and returns the final image URLs. Default model is 'grok-imagine-t2i' (fast, 6 images per generation, 5 credits). Use list_image_models to see the full lineup with pricing. For I2I, pass `referenceImages` as an array of public image URLs and pick a model with I2I support (e.g. 'grok-imagine-i2i', 'wan-2.5-spicy-i2i'). ## Model selection guide (when the user does not specify a model) Default: `grok-imagine-t2i` (5 cr, 6 outputs per call, fast, general purpose). **Strong recommendation: when a single high-quality output is what's wanted** (most agent / one-shot workflows), prefer `gpt-image-2-t2i` (9 cr @ 1K / higher @ 2K, single deterministic image, best general quality across realism, illustration, typography, and composition; supports up to 2K resolution and most aspect ratios including auto). This is the front-runner for serious creative output where you don't need to pick from 6 variations. Pick a different model when the prompt has these signals: - "single best result" / "one image" / production / no time to pick from variations -> `gpt-image-2-t2i` (9 cr, 1 output, top general quality) - "photoreal" / "photo of" / "realistic" -> `gpt-image-2-t2i` (9 cr, best general realism) or `imagen-4` (12 cr, very high quality) or `z-image-turbo` (3 cr, fastest) - "highest quality" / "premium" / no budget -> `gpt-image-2-t2i` at 2K, or `grok-imagine-quality-t2i` (16 cr @ 1K, 22 cr @ 2K), or `imagen-4-ultra` - Text inside the image (signs, posters, typography) -> `ideogram-v3-t2i` (best in class) or `gpt-image-2-t2i` (also strong) - Artistic / painterly / stylized -> `midjourney-t2i` - Album art / cover art -> `gpt-image-2-t2i` for one strong image; `grok-imagine-t2i` for 6 variations to choose from; `seedream-v4-t2i` if 4K wanted - Logo or design with embedded text -> `ideogram-v3-t2i` - NSFW / adult / explicit -> `wan-2.5-spicy-t2i` (auto-tags creation as 18+; routes to adult gallery) - Cheapest possible / quick test -> `z-image-turbo` (3 cr) - Multiple variations to compare -> keep `grok-imagine-t2i` (6 outputs default) or use `numImages` on a multi-output model For I2I (reference image provided): prefer the dedicated `aetherwave_edit_image` tool for "change something in this image" intent. Use `aetherwave_generate_image` with I2I models only when you specifically want style transfer (`midjourney-i2i`), premium quality (`grok-imagine-quality-i2i`), or adult content (`wan-2.5-spicy-i2i`). Always pass an explicit `aspectRatio` (e.g. "1:1" for square album art, "16:9" for video thumbnails, "9:16" for shorts/reels). Some upstream providers reject submissions with no aspect ratio. Ask the user only when: - The prompt contradicts itself (e.g., "highest quality but cheapest") - The user requested "the best model" with no context, surface 2-3 options with tradeoffs - A single generation would cost more than 20 credits and the user has not confirmed

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• aetherwave_reframe_image

  AetherWave Studio

  Reframes an image to a new aspect ratio by intelligently outpainting the edges. Pass a public `imageUrl` and the target `aspectRatio` ('16:9', '9:16', '1:1', '4:3', '3:4', etc.). Three speed tiers: 'turbo' (5 cr, fast), 'balanced' (10 cr, default), 'quality' (14 cr, slowest, best edges). Returns the reframed image URL.

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• scan_project

  DepScope

  Audit a project's dependencies in one shot. Returns a single-sentence `verdict` (e.g. "DO NOT INSTALL — 1 hallucinated: fastapi-turbo") that an agent can paste into its reply, plus per-package health/vulns/recommendation. Detects hallucinated packages, deprecated, typosquats, critical vulnerabilities. Accepts EITHER {ecosystem, packages:[name@ver, …]} (up to 100, returns JSON) OR {packages:[{ecosystem, package}, …]} (up to 50, mixed ecosystems, returns text brief). USE WHEN: user pastes package.json/requirements.txt/Cargo.toml; agent generated install command; 'is my stack OK'. RETURNS: JSON with `verdict`, `project_risk`, `summary.hallucinated_packages`, `summary.deprecated_packages`, per-package health.

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