About VicSee MCP Server
VicSee MCP Server exposes VicSee media generation and editing operations to MCP-compatible agents and clients. It supports model selection, text- or image-based generation, asynchronous task polling, and image or video upscaling.
Key features
- 01List models and credit costs
- 02Estimate generation credits
- 03Generate video or images from text or images
- 04Poll asynchronous task results
- 05Upscale images and videos
- 06Check credit balance
Use cases
- 01Compare models and credit costs before generation
- 02Create video or images from a prompt or image
- 03Retrieve completed media from a task
- 04Upscale an existing image or video
MCP support
Provides MCP tools for model discovery, credit estimates and balance, media generation, task polling, and image and video upscaling.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.vicsee.comclaude mcp add --transport http vicsee https://mcp.vicsee.com{"mcpServers":{"vicsee":{"type":"http","url":"https://mcp.vicsee.com"}}}Open in Cursor{"servers":{"vicsee":{"type":"http","url":"https://mcp.vicsee.com"}}}Open in VS Code{"mcpServers":{"vicsee":{"type":"http","url":"https://mcp.vicsee.com"}}}{"mcpServers":{"vicsee":{"serverUrl":"https://mcp.vicsee.com"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
7| Parameter | Type | Required | Description |
|---|---|---|---|
| type | enum | No | Filter by media typeimage | video | music |
Details
From the project READMEVicSee 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_estimate | Same arguments as vicsee_generate; returns the exact credits it will charge and creates nothing |
vicsee_generate | Text/image → video or image with a chosen model |
vicsee_get_task | Poll a task and get the finished media URL (result.expires_at — URLs are kept 7 days; download what you want to keep) |
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-2-5-text-to-video(up to 30s) orseedance-2-0-text-to-video(adds 1080p/4K)vicsee_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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.