Heroicons▌
by seeyangzhi
Search and use Heroicons easily in your React JS applications. Get usage examples, list icons, and enhance your React ic
Exposes the Heroicons library for searching, listing, and generating usage examples of icons in React applications
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / React developers building UIs
- / Designers prototyping interfaces
- / Frontend teams standardizing on Heroicons
capabilities
- / Search Heroicons by name or category
- / Generate React code examples for any icon
- / List all available icons with style filtering
- / Browse icons by outline, solid, or mini styles
what it does
Provides access to the complete Heroicons library, letting you search for icons and generate React code examples. No need to browse the website or remember icon names.
about
Heroicons is a community-built MCP server published by seeyangzhi that provides AI assistants with tools and capabilities via the Model Context Protocol. Search and use Heroicons easily in your React JS applications. Get usage examples, list icons, and enhance your React ic It is categorized under developer tools, design. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Heroicons 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
Heroicons is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
heroicons-mcp
<a href="https://glama.ai/mcp/servers/@SeeYangZhi/heroicons-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@SeeYangZhi/heroicons-mcp/badge" /> </a>A Model Context Protocol (MCP) server exposing Heroicons as resources and tools for LLMs and agentic applications. Built with Bun and the MCP TypeScript SDK.
What is Heroicons?
Heroicons is a popular library of hand-crafted SVG icons, designed by the makers of Tailwind CSS. The icons are available in multiple styles (Outline, Solid) and are easy to integrate into web projects.
What is MCP?
The Model Context Protocol (MCP) is a standard for AI tools to request specific context from sources outside their main training data.
This MCP server allows AI coding assistants and other agentic applications to access information about Heroicons, enabling better assistance and icon search capabilities.
Features
- Exposes Heroicons as MCP resources (Outline and Solid styles)
- Provides tools for searching icons by name or keywords
- Allows listing all icons or icons within a specific style
- Ready for integration with Claude Desktop and other MCP clients
- Can be run as an HTTP server or a stdio-based MCP server
Prerequisites
Getting Started (Development)
1. Clone the repository
git clone https://github.com/SeeYangZhi/heroicons-mcp.git
cd heroicons-mcp
2. Install Bun (if you don't have it)
Refer to the official Bun installation guide.
After installation, restart your terminal and check:
bun --version
3. Install dependencies
bun install
4. Build the project
This compiles the TypeScript source to JavaScript in the build directory.
bun run build
Usage
HTTP Mode
You can run the HTTP server using npx:
npx heroicons-mcp
This starts the HTTP server (defaults to port 3000, as defined in src/http.ts).
Or install globally:
npm install -g heroicons-mcp
Then run:
heroicons-mcp
Stdio Mode
npx heroicons-mcp --stdio
# or if installed globally
heroicons-mcp --stdio
Local Development
There are two main ways to run the MCP server:
1. HTTP Mode
Suitable for clients that support communication over HTTP.
For development (using Bun):
bun run start
# or directly
bun run src/entry.ts
This runs the server defined in src/entry.ts, which defaults to HTTP mode.
2. Stdio Mode
Often used for direct integration with tools like Claude Desktop or the MCP Inspector, communicating over standard input/output.
For development (using Bun):
bun run src/entry.ts --stdio
Configuration with AI Tools
Example: Claude Desktop
To use this MCP server in Claude Desktop:
- Open your Claude Desktop configuration file:
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
(Or use your preferred editor) 2. Add the server to the mcpServers section.
Option A: via npx:
{
"mcpServers": {
"heroicons": {
"command": "npx",
"args": ["heroicons-mcp", "--stdio"]
}
}
}
Option B: Pointing directly to the build output (ensure you have built the project using bun run build):
{
"mcpServers": {
"heroicons": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/heroicons-mcp/build/entry.js", "--stdio"]
}
}
}
Replace /ABSOLUTE/PATH/TO/heroicons-mcp/build/entry.js with the actual absolute path to your built entry.js file.
- Save the file and restart Claude Desktop.
- You should now see the "heroicons" server available in Claude's tools panel.
Note: The npx heroicons-mcp --stdio command is the recommended way for stdio mode.
Tools Available (MCP)
This MCP server exposes the following tools to AI coding assistants:
- list_all_icons
- Description: Lists all available Heroicons, optionally filtered by style (outline, solid).
- Parameters:
style(optional: "outline" | "solid")
- search_icons
- Description: Searches for Heroicons by name or keywords across all styles.
- Parameters:
query(string),style(optional: "outline" | "solid")
- get_icon_usage_examples
- Description: Retrieves JSX example usage for a specific icon.
- Parameters:
name(string),style(string: "outline" | "solid")
Example Usage
Here's how an AI tool might use this MCP server:
- User asks AI tool: "Find me a 'user' icon from Heroicons, preferably the solid style."
- AI tool calls
search_icons:
query: "user"style: "solid"
- MCP server responds with a list of matching solid Heroicons (e.g.,
UserIcon,UserCircleIcon,UserPlusIcon). - User asks tool: "Show usage example of UserIcon".
- AI tool calls
get_icon_usage_examples:
name: "UserIcon"style: "solid"
- MCP server responds with the JSX code example:
import { UserIcon } from "@heroicons/react/24/solid";
function Example() {
return (
<div>
<UserIcon className="w-6 h-6 text-blue-500" />
</div>
);
}
Testing MCP Locally with Inspector
You can test the MCP server (stdio mode) locally using the MCP Inspector.
First, ensure the project is built:
bun run build
Then launch the Inspector and connect it to your server using the node ./build/entry.js command with the --stdio flag:
npx @modelcontextprotocol/inspector node ./build/entry.js --stdio
This will open the Inspector interface, allowing you to interactively test resources and tools exposed by your MCP server.
Development Scripts
bun run dev: Starts the server in HTTP mode for development (usessrc/entry.ts).bun run dev:stdio: Starts the stdio MCP server for development (usessrc/entry.ts --stdio).bun run build: Compiles TypeScript to JavaScript (output inbuild/).bun run lint: Lints the codebase using ESLint.
Resources
License
FAQ
- What is the Heroicons MCP server?
- Heroicons 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 Heroicons?
- This profile displays 39 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★39 reviews- ★★★★★Ren White· Dec 24, 2024
We wired Heroicons into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Dhruvi Jain· Dec 16, 2024
According to our notes, Heroicons benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Isabella Sethi· Dec 8, 2024
Heroicons has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kofi Mehta· Dec 4, 2024
According to our notes, Heroicons benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ren Singh· Nov 27, 2024
Heroicons is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Neel Yang· Nov 23, 2024
We wired Heroicons into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Omar Mensah· Nov 15, 2024
According to our notes, Heroicons benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Oshnikdeep· Nov 7, 2024
We wired Heroicons into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ganesh Mohane· Oct 26, 2024
Heroicons is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ren Anderson· Oct 18, 2024
We wired Heroicons into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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