How do I install Vicsee?

Vicsee is a local plugin. Install it using npm package: @vicsee/mcp-server and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What credentials does Vicsee need?

Vicsee requires the following credentials or environment variables: VICSEE_API_KEY. You can find setup instructions on the server detail page.

What AI apps work with Vicsee?

Vicsee uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Vicsee MCP Server

by Vicseeai

Developer ToolsModerate7.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

Generate, edit and upscale AI video and images from any agent via VicSee.

About

Generate, edit and upscale AI video and images from any agent via VicSee.

Security Report

7.0

Moderate7.0Low Risk

Valid MCP server (3 strong, 4 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.

7 files analyzed · 4 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

file_system

Check that this permission is expected for this type of plugin.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

VicSee API key (starts with sk-) from vicsee.com Settings then API. Requires a paid plan or credit pack.Required

Environment variable: VICSEE_API_KEY

How to Install

Add this to your MCP configuration file:

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

Documentation

View on GitHub

From the project's GitHub 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 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."

vicsee_list_models (type: video) → pick e.g. seedance-2-0-text-to-video
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_models for per-model costs and vicsee_get_credits for your balance.

License

MIT

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Vicsee MCP Server

About

Security Report

Findings (4)Action required

Permissions Required

What You'll Need

How to Install

Documentation

VicSee MCP Server

What your agent can do

Setup

Client config locations

Optional env

Local development

Example agent flow

Notes

License

Reviews

No reviews yet

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