F
licenseNot graded
qualityC
maintenanceEnables querying thousands of UK paint colours, finding visually equivalent alternatives across brands, planning room projects, and exploring market trends.
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PaintColorHQ Color Match
Server Details
Closest real, purchasable paint colors across 13 brands for any hex value, scored with CIEDE2000.
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- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- Repository
- pcameron80/paintcolorhq-mcp
- GitHub Stars
- 0
TDQS
A4.1/5.0
Scored across 1 tool
Disambiguation5/5
Only one tool exists, so there is no possibility of tool selection confusion. Its purpose (hex → nearest purchasable paint colors across brands) is stated explicitly and unambiguously.
Naming Consistency5/5
The single tool follows a clear verb_noun snake_case pattern (match_paint_color) that accurately reflects its action and resource. There is nothing to conflict with it.
Tool Count3/5
A one-tool surface is thin even for a narrow domain; auxiliary operations like listing brands, looking up a color by name/number, or converting a named paint to hex are not offered. The core operation is well-scoped, but the surface is minimal.
Completeness3/5
Forward matching (hex → brand colors) is covered, but the description also promises cross-referencing a paint color across brands — which requires a name/number → hex lookup that isn't provided. There is no brand/color list endpoint or reverse lookup, so agents will hit dead ends on those workflows.
Available Tools
1 toolmatch_paint_colorARead-onlyInspect
Find the closest real, purchasable paint colors across 13 major brands (Sherwin-Williams, Benjamin Moore, Behr, Valspar, PPG, Dunn-Edwards, and more) for any hex color, scored with the CIEDE2000 (Delta-E) perceptual color-difference standard. Use this to answer "what is the [brand] equivalent of [a paint color]", to cross-reference a paint color across brands, or to turn a hex/RGB value into named paint colors you can actually buy. Each result returns the brand, color name, color number, hex, a closeness label and availability (current, retired or discontinued). Data and method: PaintColorHQ (paintcolorhq.com).
| Name | Required | Description | Default |
|---|---|---|---|
| hex | Yes | Target color as a 6-digit hex code, with or without '#' (e.g. '7F9B8E' or '#7F9B8E'). | |
| brand | No | Optional. Restrict matches to one brand slug, e.g. 'sherwin-williams', 'benjamin-moore', 'behr', 'valspar', 'ppg', 'dunn-edwards'. | |
| limit | No | Optional. Number of cross-brand matches to return (1–10). Default 10. |
TDQS
A4.2/5.0
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Goes well beyond the readOnly/openWorld annotations by describing the scoring standard, the returned fields (brand, name, number, hex, closeness label, availability status), and the data source. Missing only operational details like rate limits or latency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loads the capability and method before the use cases; every sentence carries information. The parenthetical brand list and usage enumeration make it slightly longer than strictly necessary, but nothing is padding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description takes on the burden of explaining return values and does so explicitly, including availability states. Combined with the tool's simplicity and full schema coverage, an agent has everything needed to call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and already documents hex format, brand slugs, and the 1–10 limit with a default. The description adds context (13 brands, perceptual scoring) but no parameter-level detail the schema lacks, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Specific verb and resource ('find the closest real, purchasable paint colors') plus the exact method (CIEDE2000 Delta-E) and brand scope (13 brands, named examples). An agent knows precisely what it gets back without opening the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Three concrete use cases are spelled out (brand-equivalent lookup, cross-brand reference, hex-to-named-paint). There are no siblings and no stated exclusions or when-not-to-use conditions, so it stops just short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
match_paint_color
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