Skip to main content
Glama
vivmuk

Medhā MCP

by vivmuk

Venice Video Queue

venice_video_generate

Queue a video generation job using premium AI models like Sora 2, Veo 3.1, Kling, and Wan. Supply a prompt, select a model id, and receive a queue id to poll for results via status checks.

Instructions

Queue a video generation. Supports Sora 2, Veo 3.1, Kling, Wan, LTX 2, Seedance, Runway Gen-4, and others. Pick a specific id like "veo3.1-fast-text-to-video", "veo3.1-fast-image-to-video", "kling-2.6-pro-text-to-video", "wan-2.6-text-to-video", "seedance-2-0-r2v" etc. Operator preferences — default: ltx-2; also try: sora-2 / veo3.1-fast / kling-2.6-pro. Operator prefers ltx-2 for speed. Sora-2 / Veo3.1 / Kling for premium. Seedance 2.0 r2v for video-to-video. Always quote first via venice_video_quote. Uncensored: NSFW prompts allowed where the model permits. Supports x402 wallet auth (no Venice account needed) and API key. Returns { model, queue_id }; poll with venice_video_status. NOTE: 'duration' is a string enum like '4s' / '6s' / '8s' (model-specific, see model card).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
audioNoEnable or disable audio generation for models that support it. Defaults to true.
modelYesRequired. Full model id, e.g. "veo3.1-fast-text-to-video".
promptYes
durationNoDuration as model-specific string enum, e.g. "4s", "6s", "8s". See GET /v1/models/:id/card.
elementsNoFor Kling O3 R2V and similar: up to 4 character/object elements. Reference in prompt as @Element1, @Element2, etc.
audio_urlNoFor models that support audio input: background music. URL or data URL. Supported: WAV, MP3. Max 30s, 15MB.
image_urlNoFor image-to-video models: starting frame. URL or data URL.
video_urlNoFor video-to-video models (e.g. seedance-2-0-r2v): input video. URL or data URL. Supported: MP4, MOV, WebM.
resolutionNoOutput resolution, e.g. "720p", "1080p", "4k". Model-specific; see model card.
aspect_ratioNo
end_image_urlNoFor models that support end frames or transitions. URL or data URL.
upscale_factorNoFor upscale models only: 1 = quality enhance, 2 = double resolution, 4 = quadruple.
negative_promptNoNegative prompt (what to avoid). Supported by Seedance and other models.
scene_image_urlsNoFor models with advanced element support: up to 4 scene reference images. Reference in prompt as @Image1, @Image2, etc.
reference_audio_urlsNoFor Seedance 2.0 R2V and similar: up to 3 reference audio clips for vocal timbre, narration, or sound effects. Per-clip 2–15s, WAV/MP3; aggregate ≤15s. Must be paired with at least one reference image or video. Each a URL or data URL.
reference_image_urlsNoFor models with reference image support: up to 9 images for character/style consistency. Each a URL or data URL.
reference_video_urlsNoFor Seedance 2.0 R2V and similar: up to 3 reference video clips to inherit subject motion, camera movement, and style. Per-clip 2–15s, MP4/MOV, ≤50MB; aggregate ≤15s. Each a URL or data URL.
Behavior4/5

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

No annotations exist, so description carries full burden. It discloses auth mechanisms (x402 wallet, API key), NSFW permissiveness, return format ({model, queue_id}), and duration being an enum. Slightly less transparent about failure modes, rate limits, or what happens on queue rejection, but the disclosures present are strong.

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

Conciseness4/5

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

Rich with information but somewhat dense and run-on in style; multiple concepts packed into a few sentences requiring careful parsing. Still, every sentence adds value—model selection, operator prefs, auth, NSFW, return/polling, and duration caveat all earn their place. Slightly front-loads the most critical info (queuing + models).

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?

Highly complete for an 18-parameter tool. The schema already documents most parameters well (83% coverage), and the description compensates for the gap by explaining duration enum semantics, operator model preferences, quoting flow, wallet auth, and NSFW policy. Return value and polling flow clearly conveyed. No output schema, but description handles expectations adequately.

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 high at 83%, so baseline is 3. The description adds value beyond schema by explaining duration as a string enum, clarifying operator-preferred model ids, and noting that elements/scene images use @Element/@Image referencing. The model parameter receives substantial contextual enrichment not in the schema.

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?

Clearly states it queues a video generation and lists specific supported models with concrete id examples. Distinguishes from sibling tools like venice_image_generate, venice_music_generate, and venice_video_complete by focusing on the queueing action and mentioning polling via venice_video_status.

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?

Provides explicit operator preferences with default (ltx-2 for speed), premium tiers (sora-2/veo3.1/kling), and task-specific guidance (seedance for video-to-video). States when to quote (always via venice_video_quote) and polling expectation. Mentions auth options and NSFW policy. This is exceptional usage guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vivmuk/medha-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server