mcpField
V
VicSee MCP Server

VicSee MCP Server

Remote
vicsee.comMedia & Design0Updated 1w ago

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

  1. 01List models and credit costs
  2. 02Estimate generation credits
  3. 03Generate video or images from text or images
  4. 04Poll asynchronous task results
  5. 05Upscale images and videos
  6. 06Check credit balance

Use cases

  1. 01Compare models and credit costs before generation
  2. 02Create video or images from a prompt or image
  3. 03Retrieve completed media from a task
  4. 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.

Endpointhttps://mcp.vicsee.com
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

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.

Packages
npm@vicsee/mcp-server0.3.3

Tools

7
ParameterTypeRequiredDescription
typeenumNoFilter by media typeimage | video | music

Details

From the project 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

ToolWhat it does
vicsee_list_modelsList available models (Seedance, Veo, Kling, FLUX, Nano Banana, …) + their credit costs
vicsee_estimateSame arguments as vicsee_generate; returns the exact credits it will charge and creates nothing
vicsee_generateText/image → video or image with a chosen model
vicsee_get_taskPoll a task and get the finished media URL (result.expires_at — URLs are kept 7 days; download what you want to keep)
vicsee_upscale_imageUpscale an image
vicsee_upscale_videoUpscale a video
vicsee_get_creditsCheck 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

  1. Get an API key at vicsee.com → Settings → API (starts with sk-). API access requires a paid plan or credit pack.
  2. 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 to https://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."

  1. vicsee_list_models (type: video) → pick e.g. seedance-2-5-text-to-video (up to 30s) or seedance-2-0-text-to-video (adds 1080p/4K)
  2. vicsee_generate (model, prompt, duration: 5) → { id, status: "pending" }
  3. 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_models for per-model costs and vicsee_get_credits for your balance.

License

MIT

Comments

Markdown supported

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.