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Hugeicons MCP Server

by hugeicons

MCP server for Hugeicons search and usage documentation

1.2kNode.jsstdio

context tax

pending

security

pending

cold start

pending

freshness

pending

Our reading of Hugeicons, from the data

Hugeicons is a documentation MCP server from hugeicons.

We haven't measured its tool list yet, so its token cost is unknown.

With 1,215 GitHub stars it ranks #23 of 829 documentation servers we index.

It runs locally on your machine over stdio.

Install Hugeicons MCP server

Install in Claude Code

claude mcp add hugeicons -- npx -y @hugeicons/mcp-server

Freshness

Not enough public signals yet to judge maintenance.

  1. Last commit (default branch)

    2026-10-16 · 2d ago · GitHub

  2. Latest release

    no data · GitHub

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    no data · official registry

How it compares in Documentation

Against the most-starred documentation servers we index. Token cost is per model turn, measured from each server's live tool list.

ServerStarsToolsTokens / turnFreshnessRuns
Hugeicons (this)1,215—not measured—local
Context763,26421,188Activelocal + hosted
Context763,264—not measuredActive—
Docs28,892—not measuredActivelocal
React Spectrum15,963—not measured—local
Docs12,599—not measured—local
All documentation MCP servers

FAQ

›How do I install the Hugeicons MCP server in Claude Code?

Run: claude mcp add hugeicons -- npx -y @hugeicons/mcp-server. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.

›Does Hugeicons require an API key?

No required environment variables are declared in its published metadata.

›Can I use Hugeicons as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is Hugeicons in the official MCP registry?

No. It was indexed from npm.

Sources and method

GitHub repository
fetched 2026-10-19
Package registry (npm / PyPI)
listed
Last checked against all sources
2026-10-19

The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.

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