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Generate, edit and upscale AI video and images from any agent via VicSee.
Generate, edit and upscale AI video and images from any agent via VicSee.
Remote endpoints: streamable-http: https://mcp.vicsee.com
This is a well-architected MCP server for VicSee's video/image generation API with solid security practices. Authentication is properly handled via API keys (stdio) and OAuth (Worker), credentials are never hardcoded, and input validation is comprehensive. The codebase is clean with appropriate error handling. Minor findings around logging and token validation do not materially impact security given the server's purpose and permission scope. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: VICSEE_API_KEY
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
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.
| 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.
sk-).
API access requires a paid plan or credit pack.{
"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.
claude_desktop_config.json → mcpServerscommand/args/env)claude mcp add vicsee -e VICSEE_API_KEY=sk-... -- npx -y @vicsee/mcp-serverVICSEE_BASE_URL — override the API base URL (defaults to https://vicsee.com/api/v1).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"].
"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/…" } }cdn.vicsee.com — stable VicSee CDN links.vicsee_list_models for per-model costs and
vicsee_get_credits for your balance.MIT
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