Iconfont▌

by zys8119
Search and use icons from Iconfont.cn's vast icon library for your React and UI design projects. Perfect for React icon
Integrates with Iconfont.cn to search and retrieve icon data from China's largest icon library by name and type for design workflows and UI development.
best for
- / UI developers building Chinese market applications
- / Designers needing extensive icon libraries
- / Teams working on localized Chinese interfaces
capabilities
- / Search icons by name and type from Iconfont.cn
- / Download icon files for local use
- / Browse China's largest icon collection
- / Retrieve icon metadata and details
what it does
Connects to Iconfont.cn, China's largest icon library, to search and download icons directly from your development environment.
about
Iconfont is a community-built MCP server published by zys8119 that provides AI assistants with tools and capabilities via the Model Context Protocol. Search and use icons from Iconfont.cn's vast icon library for your React and UI design projects. Perfect for React icon It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Iconfont in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Iconfont is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Iconfont MCP server?
- Iconfont is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Iconfont?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Iconfont is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Iconfont against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Iconfont is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Iconfont reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Iconfont for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Iconfont surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Iconfont has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Iconfont benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Iconfont into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Iconfont is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.