A design-style library for AI agents: search real styles, fetch a ready-to-apply design spec.
A design-style library for AI agents: search real styles, fetch a ready-to-apply design spec.
Connect your AI to Curio — a design-style library built for AI agents. Hundreds of tokenized design styles (real design movements, brands, cultural traditions), each with a machine-readable spec your agent can apply directly to slides, websites, and products.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_styles | Keyword + facet search over the library |
| list_styles | Browse / paginate, filtered by facets |
| get_style | Metadata + preview image for one style |
| get_style_spec | Full design spec (DESIGN.md), ready to apply |
| get_quota | Remaining spec fetches for the signed-in user |
{
"mcpServers": {
"curio": { "url": "https://mcp.designbycurio.com/mcp" }
}
}Configuration as documented by the project. Restart the client after saving.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Create, run, and analyze NetLogo agent-based models through natural conversation
Manage repositories, branches, webhooks, and pull requests in Bitbucket workspaces
Analyzes source code dependencies within a specified directory to identify file relationships.
You asked an AI to write 20 questions. It delivered. **But now you're stuck:**