vicsee-mcp-server
Enables AI agents to generate, edit, and upscale videos and images using VicSee's API, with support for multiple models and asynchronous task polling.
README
VicSee MCP Server
Generate, edit, and upscale AI video & images from any agent — VicSee as a set of MCP tools.
Works with Hermes Agent, Claude (Desktop / Code), Cursor, OpenClaw, and any MCP-compatible client.
What your agent can do
| Tool | What it does |
|---|---|
vicsee_list_models |
List available models (Seedance, Veo, Kling, FLUX, Nano Banana, …) + their credit costs |
vicsee_generate |
Text/image → video or image with a chosen model |
vicsee_get_task |
Poll a task and get the finished media URL |
vicsee_upscale_image |
Upscale an image |
vicsee_upscale_video |
Upscale a video |
vicsee_get_credits |
Check your credit balance |
Generation is asynchronous: vicsee_generate (or vicsee_upscale_*) returns a task id
immediately — your agent then polls vicsee_get_task until status is completed and reads the
URL from result.url.
Setup
- Get an API key at vicsee.com → Settings → API (starts with
sk-). API access requires a paid plan or credit pack. - Add the server to your MCP client config with that key:
{
"mcpServers": {
"vicsee": {
"command": "npx",
"args": ["-y", "@vicsee/mcp-server"],
"env": { "VICSEE_API_KEY": "sk-your-key-here" }
}
}
}
That's the whole setup — drop in your key, and your agent can generate.
Client config locations
- Claude Desktop:
claude_desktop_config.json→mcpServers - Cursor: Settings → MCP → add server (same
command/args/env) - Hermes Agent / OpenClaw: add to the MCP servers section of your agent config
- Claude Code:
claude mcp add vicsee -e VICSEE_API_KEY=sk-... -- npx -y @vicsee/mcp-server
Optional env
VICSEE_BASE_URL— override the API base URL (defaults tohttps://vicsee.com/api/v1).
Local development
pnpm install
pnpm build
VICSEE_API_KEY=sk-... node dist/index.js # stdio server
# or run from source: VICSEE_API_KEY=sk-... pnpm dev
Point your MCP client at the local build by using "command": "node", "args": ["/abs/path/to/dist/index.js"].
Example agent flow
"Make me a 5-second video of a kitten chasing a laser."
vicsee_list_models(type: video) → pick e.g.seedance-2-0-text-to-videovicsee_generate(model, prompt, duration: 5) →{ id, status: "pending" }vicsee_get_task(id) … poll … →{ status: "completed", result: { url: "https://cdn.vicsee.com/…" } }
Notes
- Result URLs are served from
cdn.vicsee.com— stable VicSee CDN links. - Each generation costs credits; see
vicsee_list_modelsfor per-model costs andvicsee_get_creditsfor your balance.
License
MIT
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