Overview
Color Similarity Calculator works by converting hex colors to RGB and HSL, calculating Euclidean distance in color space, and comparing hue, saturation, and lightness differences for comprehensive similarity analysis.
Live Test Color Similarity for AI Agents Source →
The tool
Once your client is connected to the VerveContext server, this appears in its tool list as ColorSimilarityforAIAgents. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.
{
"name": "ColorSimilarityforAIAgents",
"arguments": {
"color1": "FF5733",
"color2": "FF6B47"
}
}You do not name the tool yourself; the model picks it. Asking about FF5733 in the terms this source covers is enough for it to reach for ColorSimilarityforAIAgents on its own — naming it explicitly also works, and is the way to force the call.
Connecting
One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp"
}
}
}https://api.vervecontext.com/v1/mcpPer-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.
Arguments
These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.
| Argument | Type | Description |
|---|---|---|
color1Required | string | First hex color value (with or without # prefix) hexColor |
color2Required | string | Second hex color value (with or without # prefix) hexColor |
What the model gets back
The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.
{
"status": "ok",
"error": null,
"data": {
"color1": {
"hex": "#FF5733",
"rgb": {
"r": 255,
"g": 87,
"b": 51
},
"hsl": {
"h": 10.6,
"s": 100,
"l": 60
}
},
"color2": {
"hex": "#FF6B47",
"rgb": {
"r": 255,
"g": 107,
"b": 71
},
"hsl": {
"h": 11.7,
"s": 100,
"l": 63.9
}
},
"rgb_distance": 28.28,
"rgb_similarity": 93.6,
"hsl_similarity": 97.71,
"overall_similarity": 95.65,
"delta_e": 28.28,
"hue_difference": 1.15,
"saturation_difference": 0,
"lightness_difference": 3.92,
"similarity_category": "nearly identical",
"are_identical": false
}
}
Response fields
Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.
| Field | Type | Example | Description |
|---|---|---|---|
color1 | object | {…} | The first colour, in hex, RGB and HSL |
color1.hex | string | #FF5733 | First color in hexadecimal format representation |
color1.rgb | object | {…} | First colour as red, green and blue channels |
color1.rgb.r | number | 255 | Red channel value for first color |
color1.rgb.g | number | 87 | Green channel value for first color |
color1.rgb.b | number | 51 | Blue channel value for first color |
color1.hsl | object | {…} | First colour as hue, saturation and lightness |
color1.hsl.h | number | 10.6 | Hue value for first color in degrees |
color1.hsl.s | number | 100 | Saturation percentage for first color |
color1.hsl.l | number | 60 | Lightness percentage for first color |
color2 | object | {…} | The second colour, in hex, RGB and HSL |
color2.hex | string | #FF6B47 | Second color in hexadecimal format representation |
color2.rgb | object | {…} | Second colour as red, green and blue channels |
color2.rgb.r | number | 255 | Red channel value for second color |
color2.rgb.g | number | 107 | Green channel value for second color |
color2.rgb.b | number | 71 | Blue channel value for second color |
color2.hsl | object | {…} | Second colour as hue, saturation and lightness |
color2.hsl.h | number | 11.7 | Hue value for second color in degrees |
color2.hsl.s | number | 100 | Saturation percentage for second color |
color2.hsl.l | number | 63.9 | Lightness percentage for second color |
rgb_distancePremium | number | 28.28 | Euclidean distance between colors in RGB space |
rgb_similarityPremium | number | 93.6 | Percentage similarity based on RGB color space |
hsl_similarityPremium | number | 97.71 | Percentage similarity based on HSL color space |
overall_similarity | number | 95.65 | Combined similarity percentage from all algorithms |
delta_ePremium | number | 28.28 | Delta E color difference metric for perceptual similarity |
hue_differencePremium | number | 1.15 | Hue difference between colors in degrees |
saturation_differencePremium | number | 0 | Saturation percentage difference between colors |
lightness_differencePremium | number | 3.92 | Lightness percentage difference between colors |
similarity_category | string | nearly identical | Human readable category describing similarity level |
are_identical | boolean | false | Boolean indicating if colors are exactly identical |
Why ground on it
A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.
Point an evaluation at overall_similarity: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.
Failure modes
Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.
| Status | What it means |
|---|---|
400 / 422 | The arguments did not validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Blocked by a key restriction or an IP allow-list. Never a bad identity. |
404 | This source is not part of VerveContext. Check the catalog. |
429 | Out of credits, or a brief rate limit. The message tells them apart. |
A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.
Use cases
- Color Matching
- Find and compare similar colors for design consistency and brand compliance
- Image Processing
- Compare colors in images for color correction and matching operations
- Design Systems
- Validate color palette consistency and identify similar colors in design systems
- Quality Control
- Compare product colors against standards for quality assurance and brand consistency
Other ways to use Color Similarity for AI Agents
Set up Color Similarity for AI Agents on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.
Related
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