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AetherWave Studio

by com.aetherwavestudio.mcp
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Generate video (Grok Imagine, Wan 2.7, Hailuo 02, Seedance, Kling 2.6, VEO 3.1, Happy Horse)

aetherwave_generate_video

Generates a short-form video from a text prompt (T2V) or a text prompt + starting image (I2V). Submits, polls, and returns the final video URL. Default model is 'grok-imagine-t2v' (fast, 4 cr/s at 480p and 7 at 720p, with built-in KIE -> fal.ai fallback). Use list_video_models for the full lineup with credit cost per second. I2V models (e.g. 'grok-imagine-i2v', 'seedance-pro-i2v') require a public imageUrl. Video generation takes 1-8 minutes, so this tool almost always returns state "running" with a taskId: poll aetherwave_get_job with kind "video".

Model selection guide for videos (when the user does not specify a model)

Default: grok-imagine-t2v (4 cr/s at 480p, 7 at 720p, fast, has KIE -> fal.ai fallback for redundancy. Best general-purpose).

Pick a different model when the prompt has these signals:

  • "highest quality" / "premium" / broadcast / commercial -> veo3-quality (Google VEO 3.1 Quality, fixed 350 cr for 8s, 3-5 min)

  • "fast premium" / quick high-quality -> veo3-fast (VEO 3.1 Fast, 84 cr fixed for 8s) or veo3-lite (42 cr)

  • Cinematic camera moves / dolly / pan -> seedance-pro-t2v (3-10 cr/s) or kling-3.0-pro-t2v (26 cr/s)

  • Realistic human motion / faces -> hailuo-2.3-pro (I2V, supply imageUrl)

  • Talking head / lip sync -> kling-avatar-pro (23 cr/s) or infinitalk (5-17 cr/s)

  • Anime / stylized / fantasy -> wan-2-7-t2v

  • NSFW / adult -> wan-22-nsfw-i2v (I2V only; auto-tags adult)

  • Animate this exact image -> any I2V variant (grok-imagine-i2v, seedance-pro-i2v, hailuo-2.3-pro)

  • First + last frame interpolation -> seedance-pro-i2v with both imageUrl + endImageUrl

  • Cheapest test -> hailuo-2.0-standard @ 512p (3 cr/s, ~18 cr for 6s) or grok-imagine-t2v @ 480p (4 cr/s, ~24 cr for 6s)

  • Clip 12-15s -> grok-imagine-t2v (accepts up to 15s)

  • True 4K -> kling-3.0-4k-t2v (94 cr/s, expensive but native 4K)

Audio in generated video: grok-imagine-t2v, seedance-pro-t2v, and the VEO 3.x family include audio at base cost (no surcharge). Kling 2.6 and Kling 3.0 are the outliers - they price audio as a +50-100% surcharge (Kling 2.6 doubles the cost, Kling 3.0 Pro adds ~46%). Default to Grok / Seedance / VEO when sound matters and you don't want to think about audio pricing.

Cost framing: resolution and duration drive cost more than model choice. A 6-second 480p Grok generation costs ~24 cr; the same prompt at 1080p Seedance 2 is ~858 cr (35x more). Pick the lowest acceptable resolution + duration first.

For I2V models: imageUrl is required. For first+last-frame models, pass endImageUrl too.

Consistent characters

If the user names a person they already have ("my Amy character"), call aetherwave_list_characters FIRST, append that character's identityBlock verbatim to the prompt, and pass their referenceImages. Do NOT use imageUrl for this - a starting frame switches the engine to first-frame mode and drops the reference images, which is the opposite of what a consistent character needs.

Writing dialogue

duration is authoritative: the engine honours the seconds you ask for to within ~0.1s and then fits the line to that length by changing pace, rather than finishing early. So write the line to the clip length - do NOT estimate the clip length from the line. Measured on a 22-clip production: ~2 words per second of clip. A words-per-minute figure from a voice description describes the character, not the engine, and budgeting by it overran by 35%.

Pass generateAudio: true for any clip with dialogue, and spell hard words the way they should be spoken ("super intelligence" rather than "superintelligence") - the engine reads the text literally and mangles unfamiliar compounds.

⚠️ A take can come back saying the WRONG WORDS and still report success. Re-rendering the identical prompt produced one clean take and one that dropped a whole sentence. For anything that will be assembled unattended, verify the rendered speech against the script before using the clip.

Ask the user only when:

  • Single generation would cost more than 100 credits and they haven't confirmed

  • They asked for "the best" with no other signal; surface 2-3 options with cost ranges

Returns within ~45 s. If the result has state "running" the job is still rendering: poll aetherwave_get_job with the returned taskId and kind every ~10 s. Pass wait:true ONLY if your MCP client permits tool calls longer than 60 s (most do not). Pass async:true to get the taskId back immediately without waiting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoModeration mode for Grok Imagine. Defaults to 'normal'.
waitNoBlock until the job finishes (up to the tool's full budget, 6-15 minutes). ONLY if your MCP client permits tool calls longer than 60 s; most abandon the call at 60 s and lose the taskId. Default false: return within ~45 s and hand back a taskId if still running.
asyncNoSubmit and return the taskId immediately without polling at all. Then poll aetherwave_get_job(taskId, kind).
modelNoModel ID. Defaults to 'grok-imagine-t2v'. Use list_video_models for the full list.
promptYesText description of the video scene.
durationNoDuration in seconds. Grok Imagine accepts 6-15; other models have their own ranges (see list_video_models).
imageUrlNoPublic URL of starting image. Required for I2V models.
resolutionNoOutput resolution. Default depends on model.
aspectRatioNoAspect ratio (e.g. '16:9', '9:16', '1:1').
endImageUrlNoPublic URL of ending image. Supported by some I2V models (first+last frame).
generateAudioNoRender native speech and sound WITH the video. Off by default, so a clip is SILENT unless you pass true. Free on Seedance 2.x at every resolution (measured: the sounded and silent runs bill identically) and included at base cost on Grok Imagine and VEO 3.x; Kling 2.6/3.0 surcharge for it. Pass true whenever the prompt contains dialogue - a talking head with no audio is not what the caller asked for.
referenceImagesNoUp to 9 image URLs used as identity anchors held consistent ACROSS the whole clip. THIS is the parameter for a consistent character - pass the character's referenceImages from aetherwave_list_characters. Mutually exclusive with imageUrl: a supplied first frame switches the engine to first-frame mode and DROPS these, disabling the only no-drift mechanism there is. Platform https URLs are fetched and encoded for you.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / async / description
      Previous value: -"Submit and return a taskId IMMEDIATELY instead of waiting for the render. Video takes 1-8 minutes and most MCP clients abandon a call at 60s, so a synchronous video call usually fails from the client side even though the render succeeds. Pass true, then poll aetherwave_get_job(taskId). Strongly recommended for video."New value: +"Submit and return the taskId immediately without polling at all. Then poll aetherwave_get_job(taskId, kind)."
    • addedInput schema / properties / wait
      Added value: +{
+  "description": "Block until the job finishes (up to the tool's full budget, 6-15 minutes). ONLY if your MCP client permits tool calls longer than 60 s; most abandon the call at 60 s and lose the taskId. Default false: return within ~45 s and hand back a taskId if still running.",
+  "type": "boolean"
+}
  2. Changed3 schema fields changed
    • addedInput schema / properties / async
      Added value: +{
+  "description": "Submit and return a taskId IMMEDIATELY instead of waiting for the render. Video takes 1-8 minutes and most MCP clients abandon a call at 60s, so a synchronous video call usually fails from the client side even though the render succeeds. Pass true, then poll aetherwave_get_job(taskId). Strongly recommended for video.",
+  "type": "boolean"
+}
    • addedInput schema / properties / generateAudio
      Added value: +{
+  "description": "Render native speech and sound WITH the video. Off by default, so a clip is SILENT unless you pass true. Free on Seedance 2.x at every resolution (measured: the sounded and silent runs bill identically) and included at base cost on Grok Imagine and VEO 3.x; Kling 2.6/3.0 surcharge for it. Pass true whenever the prompt contains dialogue - a talking head with no audio is not what the caller asked for.",
+  "type": "boolean"
+}
    • addedInput schema / properties / referenceImages
      Added value: +{
+  "description": "Up to 9 image URLs used as identity anchors held consistent ACROSS the whole clip. THIS is the parameter for a consistent character - pass the character's referenceImages from aetherwave_list_characters. Mutually exclusive with imageUrl: a supplied first frame switches the engine to first-frame mode and DROPS these, disabling the only no-drift mechanism there is. Platform https URLs are fetched and encoded for you.",
+  "items": {
+    "format": "uri",
+    "type": "string"
+  },
+  "maxItems": 9,
+  "type": "array"
+}
  3. First observed

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (readOnlyHint=false, openWorldHint=true, destructiveHint=false, idempotentHint=false), the description discloses asynchronous timing (1-8 min, ~45 s return, 'running' state + taskId), fallback behavior (KIE -> fal.ai), audio billing quirks, and a real failure mode (takes returning wrong words despite success). This is unusually rich operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded and the sectioned layout helps, but the description is very large — a full multi-line model-selection matrix is inlined into the tool description despite the referenced aetherwave_list_video_models existing for exactly that. Much of it earns its place, but the sheer volume is a clear gap against 'appropriately sized'.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the return contract (final video URL, or 'running' + taskId) and the polling recipe, plus cost, audio, and character-consistency guidance. For a 12-parameter, 20-plus-model tool, nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds genuine meaning: it explains which models need imageUrl, that endImageUrl extends I2V, that referenceImages (not imageUrl) is the consistent-character mechanism and is mutually exclusive with imageUrl, and that resolution/duration drive cost. Some content (generateAudio, wait/async) merely restates the schema, keeping this off a 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening states a specific verb and resource ('Generates a short-form video') and immediately distinguishes the two modes (T2V vs I2V), plus the async submit/poll/return mechanics. An agent can tell this apart from aetherwave_generate_image or aetherwave_generate_music without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit model-selection guide keyed to prompt signals, names alternatives for every case, and states when to ask the user (single generation >100 cr, ambiguous 'best' requests). It also routes to siblings aetherwave_list_video_models and aetherwave_get_job with concrete conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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