Connects Claude to the Tiramisu AI platform, exposing site information, pricing, FAQ, and official links through read-only tools and resources. No API keys required. The server surfaces canonical product details so your AI client can answer questions about Tiramisu's multi-model video generation (Kling, Veo 3, Minimax Hailuo, others), text-to-video and image-to-video workflows, image editing tools, and export tiers. Includes prompts for product summaries and guided tours with citations. Useful when you're evaluating or explaining Tiramisu's feature set inside Claude Desktop, Cursor, Windsurf, or Continue without switching to a browser. Zero-config install via Smithery or run from source with Node 18+.
MCP server for Tiramisu AI
A Model Context Protocol server that exposes the canonical Tiramisu AI knowledge surface — official site information, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://tiramisuai.com
Tiramisu AI is a web-based creative platform that brings together text-to-video generation, image-to-video conversion, image creation, and photo editing tools under a single interface. Rather than routing work across multiple specialized services, users can describe a scene in plain text and receive a video clip, animate a still photograph, generate original images from prompts, or swap backgrounds — all without leaving the platform. The service offers a free tier with daily credits and no watermarks, making it accessible for experimentation before committing to a paid plan. Both casual creators and professional teams will find the workflow familiar: upload or describe, choose a model, generate, and export.
Tiramisu AI suits a broad range of users who need AI-generated visual content without managing separate model subscriptions or building their own generation stack. Content creators working across YouTube, TikTok, or Instagram will find the free tier practical for regular output. Marketing managers and social media teams benefit from the ability to produce and iterate on assets quickly inside one tool. E-commerce operators can use image-to-video features to make product pages more engaging. Developers who want to add video or image generation to their own products can access the same models through the API rather than negotiating individual provider agreements. The platform scales from individual hobbyist use up to team-level batch workflows.
get_site_overviewReturn the canonical site overview so an agent has authoritative product context. (Tiramisu AI)
Input: no parameters. Returns: text/markdown.
get_pricingReturn the canonical pricing entry point for Tiramisu AI.
Input: no parameters. Returns: text/markdown.
get_official_linksReturn the canonical list of official links for Tiramisu AI (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
site://tiramisu-ai/overview — Public site overview.site://tiramisu-ai/pricing — Canonical pricing entry point.site://tiramisu-ai/faq — Short FAQ generated from public site metadata.site://tiramisu-ai/links — Canonical URLs to share with users.tell_me_about_tiramisu_aiSummarize what the site is, who it's for, and how it works. — Tiramisu AI
walk_me_through_tiramisu_aiTour the official site with citations. — Tiramisu AI
npx -y @smithery/cli install tiramisu-ai-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
git clone https://github.com/rocnubie/tiramisu-ai-mcp.git
cd tiramisu-ai-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"tiramisu-ai-mcp": {
"command": "node",
"args": [
"/absolute/path/to/tiramisu-ai-mcp/src/index.mjs"
]
}
}
}
npx @modelcontextprotocol/inspector node src/index.mjs
pnpm install
pnpm start # run the server over stdio
MIT