MCP.Market

Chart Color Audit MCP server

by socraticstatic·io.github.socraticstatic/chart-color-audit·v0.2.5

CI-friendly accessibility audit for chart color palettes: WCAG contrast, CVD simulation, OKLab ΔE.

A88/100grade A
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Safety scan
A88/100

full report

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0 stars78 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Chart Color Audit tools (2, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • audit_palette

    Audit chart colors for accessibility: pairwise OKLab \u0394E separation under normal vision, deuteranopia, protanopia, tritanopia (published Machado 2009 matrices) and grayscale, plus WCAG 2.2 SC 1.4.11 non-text contrast (\u22653:1) against the background. Returns per-vision findings with human-word bands and a pass/fail verdict with reasons.

  • audit_tokenswrite action

    Run the same audit against a chartaudit.config.json on disk \u2014 the config names a CSS or design-tokens file plus which tokens are the categorical palette, background, and semantic roles.

Public scan report

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan8 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 30 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Chart Color Audit compares

Against every graded Developer tools MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 75% of 1,119 Developer tools servers
Tools
2
the typical Developer tools server has 7
Tools that change things
50%
typical: 5%. Fewer write tools means less an agent can break
Downloads a week
78
more than 51% of 436 Developer tools servers with a package

What its tools let an agent do: 1 read · 1 change

Release history: 2 versions in the registry since 2026-08-16, latest 2026-10-04, typically one every 49 days.

Install Chart Color Audit in Claude Code, Cursor or VS Code

Runs npx -y chart-color-audit on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add chart-color-audit -- npx -y chart-color-audit
Add to Cursor

What the publisher says

From the Chart Color Audit repository's README, as published. We do not edit it. Read it on GitHub

chart-color-audit

Accessibility audit for chart color palettes. Answers one question with math: can everyone still tell your data series apart?

Plenty of tools check text contrast. This one checks the thing dashboards actually break: whether your palette survives colorblindness. It simulates deuteranopia, protanopia, and tritanopia with the published Machado, Oliveira & Fernandes 2009 matrices, measures pairwise separation in OKLab, checks WCAG 2.2 contrast against your background, and fails your build when a change quietly breaks any of it.

Four ways in. Pick yours.

1 · Try a palette (nothing to install)

npx chart-color-audit --colors "#4E79A7,#F28E2B,#E15759" --bg "#fff"
chart-color-audit · 3 colors on #ffffff · mode: perceptual

  vision          min ΔE   closest pair   reading
  · normal          14.6   2 ↔ 3        clearly distinct
  · deutan          11.9   2 ↔ 3        clearly distinct
  · protan          11.9   1 ↔ 3        clearly distinct
  · tritan          10.3   2 ↔ 3        clearly distinct
  · achromatopsia    5.2   1 ↔ 3        distinguishable

  contrast vs background: worst 2.42:1 (slot 2, needs ≥ 3:1)
  ✗ slot 2 #f28e2b — 2.42:1

  FAIL — 1 finding:
    · contrast: slot 2 (#f28e2b) is 2.42:1 vs. background (needs ≥ 3:1, WCAG 2.2 SC 1.4.11).

Those three colors separate cleanly under every colorblind simulation. The orange still fails: 2.42:1 against white, below the 3:1 floor for chart marks. Pale bars on white is one of the oldest dashboard sins, and this is it, caught in numbers.

Exit codes: 0 pass, 1 fail, 2 bad input. That is the whole CI contract.

Reading the output

ΔE is perceptual color distance (OKLab × 100). About 2 is the edge of what a human eye can tell apart.

closest pair names the two slots (1-based) that came nearest. Fix those two, re-run, repeat.

CLI

npx chart-color-audit --colors <list> --bg <color> [options]
npx chart-color-audit [--config chartaudit.config.json]
npx chart-color-audit mcp

2 · Gate your CI

Two files, no dependencies added.

Step 1. Put chartaudit.config.json in your repo root, pointed at the tokens you already have:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Chart Color Audit: common questions

Is Chart Color Audit MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the Chart Color Audit safety report
How do I install Chart Color Audit?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Chart Color Audit need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Chart Color Audit maintained?
The last commit was 31 days ago (2026-10-04). The latest release is v0.2.5.
What can I use instead of Chart Color Audit?
Servers from other publishers that do the same job: Observatory MCP server, cloud-audit MCP server and Mason MCP server.
How does Chart Color Audit compare with other Developer tools MCP servers?
safety score 88/100 (higher than 75% of 1,119 Developer tools servers); tools 2 (the typical Developer tools server has 7); tools that change things 50% (typical: 5%. Fewer write tools means less an agent can break). Full comparison.

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