Color Naming for AI Agents
The tool
Color Name Finder provides intelligent color matching using Euclidean distance in RGB color space, returning the closest named colors with similarity percentages and exact match detection.
Once your client is connected to the VerveContext MCP server, this appears in its tool list as ColorNamingforAIAgents. It is read-only and open-world: it fetches, it never mutates anything on your side, so most clients will call it without asking you to confirm.
{
"name": "ColorNamingforAIAgents",
"arguments": {
"hex": "FF5733"
}
}What that looks like in a conversation
You don't name the tool — the model picks it. Asking about FF5733 in the terms this source covers is enough for it to reach for ColorNamingforAIAgents on its own.
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 Desktop, 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.
| Argument | Type | Example | Description |
|---|---|---|---|
hexRequired | string | FF5733 | Hex color value (with or without # prefix) |
closestPremium | integer | 3 | Number of closest color matches to return |
What the model gets back
The result carries a structuredContent object matching the tool's declared outputSchema, so a client can read fields without parsing prose. status is "ok" on success and error is null; a null field means the value wasn't available for that input, not that the call failed.
{
"status": "ok",
"error": null,
"data": {
"input_hex": "#FF5733",
"input_rgb": {
"r": 255,
"g": 87,
"b": 51
},
"exact_match": false,
"closest_color": {
"name": "Tomato",
"hex": "FF6347",
"distance": 23.32,
"similarity": 94.72,
"rgb": {
"r": 255,
"g": 99,
"b": 71
}
},
"closest_matches": [
{
"name": "Tomato",
"hex": "FF6347",
"distance": 23.32,
"similarity": 94.72,
"rgb": {
"r": 255,
"g": 99,
"b": 71
}
},
{
"name": "Coral",
"hex": "FF7F50",
"distance": 49.41,
"similarity": 88.81,
"rgb": {
"r": 255,
"g": 127,
"b": 80
}
},
{
"name": "Chocolate",
"hex": "D2691E",
"distance": 52.82,
"similarity": 88.04,
"rgb": {
"r": 210,
"g": 105,
"b": 30
}
}
],
"total_named_colors": 141
}
}Fields
| Field | Type | Example | Description |
|---|---|---|---|
input_hex | string | The hex color value provided as input | |
input_rgb | object | RGB color values decomposed from input hex | |
└ input_rgb.r | number | Red component value from input | |
└ input_rgb.g | number | Green component value from input | |
└ input_rgb.b | number | Blue component value from input | |
exact_match | boolean | Whether the input matches a named color exactly | |
closest_color | object | Best matching named color with distance metrics | |
└ closest_color.name | string | Name of the closest matching color | |
└ closest_color.hex | string | Hex code of the closest matching color | |
└ closest_color.distancePremium | number | Euclidean distance metric in RGB space | |
└ closest_color.similarityPremium | number | Similarity percentage of closest match | |
└ closest_color.rgb | object | RGB values of the closest matching color | |
└ closest_color.rgb.r | number | Red component of closest color | |
└ closest_color.rgb.g | number | Green component of closest color | |
└ closest_color.rgb.b | number | Blue component of closest color | |
closest_matchesPremium | array[3] | Array of top matching colors with metrics | |
└ closest_matches.0.namePremium | string | Name of matched color in results | |
└ closest_matches.0.hexPremium | string | Hex code of matched color result | |
└ closest_matches.0.distancePremium | number | Color distance metric for match result | |
└ closest_matches.0.similarityPremium | number | Similarity percentage for match result | |
└ closest_matches.0.rgbPremium | object | RGB values of matched color result | |
└ closest_matches.0.rgb.rPremium | number | Red component of result match | |
└ closest_matches.0.rgb.gPremium | number | Green component of result match | |
└ closest_matches.0.rgb.bPremium | number | Blue component of result match | |
total_named_colors | number | Total count of available named colors |
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 with 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 input_hex: 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 with a sentence the model can act on, not a bare status code.
| Status | What it means |
|---|---|
400 / 422 | The arguments didn't validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Out of credits. Not a bad key — the month's allowance is spent. |
404 | This source isn't part of VerveContext. Check the catalog. |
429 | Brief rate limit. Retrying after a moment succeeds. |
Other ways to use Color Naming for AI Agents
Set up Color Naming 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.
Frequently asked questions
Do I have to tell the agent to use ColorNamingforAIAgents?
No. The tool's name and description are in the model's context once the server is connected, so it selects the tool when the question calls for it. Naming it explicitly works too and is useful when you want to force the call.
Does connecting the server expose every tool at once?
Yes — one connection lists the whole VerveContext catalog. Clients with a tool budget can usually filter the list; the credit cost is per call, so an unused tool costs nothing.
What does a call cost?
1 credit each time the tool actually runs. A model that reasons about the tool without calling it costs nothing.
Is there a REST version of this?
Yes — the same source is available as a plain HTTPS endpoint on APIVerve, linked above. Same data, same credits, same account.