Learning App
Open in tool →Green, blue and orange at full saturation: the gamified-learning look, where every color is a reward.
Color
#ff9d2ergb(255, 157, 46)hsl(32, 100%, 59%)oklch(0.78 0.163 63.2)| #ff9d2e as text | Ratio | AA | AA large | AAA | Fix |
|---|---|---|---|---|---|
Aaon white | 2.08:1 | fail | fail | fail | |
Aaon black | 10.11:1 | 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 #ff9d2e as the background.
No public brand in the corpus uses this exact color yet. Extract a brand to add one.
#ff9d2e 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 #ff9d2e and generate a 5-color palette that keeps it as the primary; give me the /palettes/new link
/palettes/new/ff9d2e-c4b69c-62c5cb-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