Learning App
Open in tool →Green, blue and orange at full saturation: the gamified-learning look, where every color is a reward.
Color
#fe910brgb(254, 145, 11)hsl(33, 99%, 52%)oklch(0.758 0.175 60.5)| #fe910b as text | Ratio | AA | AA large | AAA | Fix |
|---|---|---|---|---|---|
Aaon white | 2.27:1 | fail | fail | fail | |
Aaon black | 9.27:1 | pass | pass | pass | Passes AAA — no fix needed. |
Fixes keep hue and saturation and move lightness only, so the suggestion stays on-brand. Ratios are symmetric: the same numbers apply with #fe910b as the background.
Green, blue and orange at full saturation: the gamified-learning look, where every color is a reward.
Orange, blue and green — the colors of playground equipment; loud, cheerful, obviously for kids.
#fe910b reads as warm, vivid, playful. The font library is tagged with the same vocabulary:
Point any MCP client at the shared colors endpoint and your agent gets the same engine as this page — generate_palette, check_contrast, analyze_color — read-only, no key. Every palette it proposes comes with a /palettes/new/… link: open it, lock what you like, paste the link back.
https://mcp.brandsweets.com/colors/mcpclaude mcp add --transport http brandsweets-colors https://mcp.brandsweets.com/colors/mcp
›analyze #fe910b and generate a 5-color palette that keeps it as the primary; give me the /palettes/new link
/palettes/new/fe910b-c4b79c-62c4cb-2d2d1f-f1eae9?lock=0&style=vibrantWant the agent to remember your picks and write them into a living brand? Create a free BrandSweets workspace.
Machine-readable: color.md