VicSee MCP Server

Name: VicSee MCP Server
Author: vicseeai

@vicseeai

VicSee MCP Server について

Generate, edit, and upscale AI video & images from any agent — VicSee as a set of MCP tools. Multi-model (Seedance, Veo, Kling, FLUX, Nano Banana), text or image to video or image, with async task polling. Six tools: list models, generate, poll task, upscale image, upscale video,

#ai #video-generation #image-generation #media #text-to-video #image-to-video #text-to-image #upscaling

基本情報

カテゴリ

メディアとデザイン

トランスポート

stdio

公開者

vicseeai

投稿者

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "vicsee": {
      "command": "npx",
      "args": [
        "-y",
        "@vicsee/mcp-server"
      ],
      "env": {
        "VICSEE_API_KEY": "sk-your-key-here"
      }
    }
  }
}

ツール

List available VicSee models with their capabilities and credit costs. Call this first to find a model id to pass to vicsee_generate. Optionally filter by media type.

Create an AI image or video with VicSee. Generation is ASYNCHRONOUS: this returns a task `id` immediately, then poll `vicsee_get_task` with that id until status is "completed" (the result URL appears in result.url) or "failed". Use vicsee_list_models to pick a `model` and see its valid options. For image-to-video / image-to-image, pass source images in `image_urls`. For reference-to-video models (e.g. "seedance-2-0-reference-to-video"), pass references in reference_image_urls / reference_video_urls / reference_audio_urls and refer to them positionally in the prompt as @Image1, @Image2, … IMAGE inputs (image_urls, reference_image_urls) may be a public https URL, a local file path (this server reads and base64-encodes it for you), or a base64 data URI. VIDEO/AUDIO inputs (reference_video_urls, reference_audio_urls) must be public https URLs. For video-edit models (e.g. "happyhorse-video-edit"), pass the source clip in video_url and optionally set audio_setting ("auto" or "origin").

Poll a generation or upscale task by its id. status is one of "pending" | "processing" | "queued" | "completed" | "failed". When "completed", the media URL is in result.url (videos/images) or result.songs (music). When "failed", details are in error. Poll every few seconds until completed or failed.

Upscale a publicly accessible image (JPEG/PNG/WebP). Asynchronous: returns a task id — poll vicsee_get_task until completed. upscale_factor defaults to "2".

Upscale a publicly accessible video (MP4/MOV/MKV, up to 60s). Asynchronous: returns a task id — poll vicsee_get_task until completed. upscale_factor defaults to "2".

Get the current VicSee credit balance for the configured API key.

Upload a LOCAL file (image, video, or audio) from this machine and get back a public https URL. Use the returned url as an input for vicsee_generate — e.g. drop it into reference_image_urls for a reference-to-video storyboard, or image_urls for image-to-video. PREFER this over inline base64 for references: large base64 strings get truncated in tool-call output and the model rejects them. The file uploads directly to storage; only its public URL comes back.

概要

What is VicSee MCP Server?

VicSee MCP Server provides tools for AI video and image generation, editing, and upscaling from any MCP-compatible client. It connects agents to the VicSee API, supporting models like Seedance, Veo, Kling, FLUX, and more. It is designed for developers and AI agents using Hermes Agent, Claude, Cursor, OpenClaw, or any MCP client.

How to use VicSee MCP Server?

Obtain an API key from VicSee (requires a paid plan or credit pack), then add the server to your MCP client’s configuration with the key in the VICSEE_API_KEY environment variable. Use tools like vicsee_generate to start a task, then poll with vicsee_get_task to retrieve the finished media URL.

Key features of VicSee MCP Server

List available models and their credit costs
Generate video or image from text or image
Poll tasks until completion and retrieve media URL
Upscale both images and videos
Check your remaining credit balance
Asynchronous generation with task-based polling

Use cases of VicSee MCP Server

Agents creating short videos from text prompts
Integrating AI image generation into workflows
Upscaling user‑uploaded or generated media
Automating batch generation with model selection
Building interactive creative tools that use MCP

FAQ from VicSee MCP Server

What tools does VicSee MCP Server provide?

It provides six tools: vicsee_list_models, vicsee_generate, vicsee_get_task, vicsee_upscale_image, vicsee_upscale_video, and vicsee_get_credits.

How does video/image generation work?

Generation is asynchronous: vicsee_generate returns a task id immediately; your agent polls vicsee_get_task until status is completed, then reads the media URL from result.url.