FRENES

Developer tools · MCP server

Color space: MCP server, setup and security

Color space is an open-source MCP server that lets an AI agent convert colors across color spaces and process CSS color strings. Its repository has 390 stars and its last commit is from October 24, 2026 and it is licensed under CC0-1.0.

Score
71/100
Adoption (stars) 26/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintained

What Color space does

According to its repository: “Conversions across 221 color spaces, tested against cited sources: CSS strings, gamut, LUTs”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Color space is listed under Developer tools, a category of 475 servers in the directory, where it ranks #76 by stars.

Topics declared by the repository: color, colorjs, aces, cam16, color-conversion, color-science.

Installing and connecting Color space

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: JavaScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Color space. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on November 23, 2014, the colorjs/color-space repository has 390 stars and 31 forks, with 0 open issues. It has more stars than 85% of the servers in the directory. It received changes this month. Version published in the registry: 3.5.0 (October 20, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KColor spaceColor space : 390390
GitHub stars of the most followed servers in the category (log scale); Color space in orange. Checked October 25, 2026.

Verdict

Color space is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Widely followed: 390 stars
  • Listed in the official MCP registry

Frequently asked questions

How do I install Color space?

Color space is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of colorjs/color-space.

Is Color space free?

The code is published under the CC0-1.0 licence and can be used free of charge.

Is Color space safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by colorjs on GitHub. Check who maintains it before giving it access.

What are the alternatives to Color space?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.

Related articles

Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score