mcpField
I
Icon Mcp

Icon Mcp

Local
github.com/agentic-phMedia & Design7Updated 65w ago

About Icon Mcp

Icon Mcp is an MCP server for searching icon libraries from a single interface. Developers can use fuzzy matching and filters to find icons across supported libraries, with configurable caching.

Key features

  1. 01Search multiple icon libraries
  2. 02Match names with typo tolerance
  3. 03Filter by library, style, category, and tags
  4. 04Retrieve icon and library details
  5. 05Configure caching and search limits

Use cases

  1. 01Find an icon by a partial or misspelled name
  2. 02Narrow icon results by category or library
  3. 03Inspect available icon libraries and metadata

MCP support

Exposes icon search, lookup, library listing, and library-detail tools to MCP clients. It can be configured for clients such as Claude Desktop and VS Code.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"icon": {
"command": "npx",
"args": [
"-y",
"icon-mcp"
],
"env": {
"CACHE_TTL": "<CACHE_TTL>",
"DEFAULT_SEARCH_LIMIT": "<DEFAULT_SEARCH_LIMIT>",
"LOG_LEVEL": "<LOG_LEVEL>"
}
}
}
}
Run commandnpx -y icon-mcp
Environment variables to set
CACHE_TTL
DEFAULT_SEARCH_LIMIT
LOG_LEVEL

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmicon-mcp

Tools

5

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
querystringYesSearch term for icon names
librariesarrayNoSpecific libraries to search in
fuzzybooleanNoEnable fuzzy search for typo tolerance
limitnumberNoMaximum number of results to return
thresholdnumberNoMinimum match score for fuzzy search (0.0-1.0)
includeScorebooleanNoInclude match scores in results
includeMatchesbooleanNoInclude match details for highlighting
keysarrayNoSpecific fields to search in
useExtendedSearchbooleanNoEnable advanced query syntax
ignoreLocationbooleanNoIgnore location-based scoring
minMatchCharLengthnumberNoMinimum match length
isCaseSensitivebooleanNoCase sensitive search

Details

From the project README

Icon MCP Server

A powerful Model Context Protocol (MCP) server that provides unified search capabilities across multiple icon libraries with fuzzy search, intelligent caching, and comprehensive filtering options.

🚀 Features

  • Multi-Library Support: Search across multiple icon libraries simultaneously
  • Fuzzy Search: Advanced search with typo tolerance using Fuse.js
  • Intelligent Caching: Fast response times with smart caching strategies
  • Comprehensive Filtering: Filter by library, style, category, tags, and more
  • NPM Package Integration: Automatic icon library management via NPM packages
  • TypeScript: Full type safety and excellent developer experience
  • MCP Protocol: Standard Model Context Protocol for seamless integration

📦 Supported Icon Libraries

  • Bootstrap Icons - Official open source SVG icon library for Bootstrap
  • Feather - Beautiful open source icons
  • Octicons - GitHub's icon library
  • Tabler Icons - Free and open source icons

🛠️ Installation

NPM Package
npm install -g icon-mcp
From Source
git clone https://github.com/your-org/icon-mcp.git
cd icon-mcp
npm install
npm run build
Build Icon Index
# Build icon indices from NPM packages
npm run build-icons

🚀 Quick Start

As MCP Server
# Start the MCP server
npm start
Configuration

The server can be configured via environment variables:

# Cache configuration
CACHE_TTL=300000          # Cache TTL in milliseconds (default: 5 minutes)
CACHE_MAX_SIZE=1000       # Maximum cache entries (default: 1000)

# Search configuration
DEFAULT_SEARCH_LIMIT=50   # Default search result limit
FUZZY_THRESHOLD=0.3       # Default fuzzy search threshold

# Logging
LOG_LEVEL=info           # Logging level (error, warn, info, debug)

🔌 Configuration for MCP Clients

Claude Desktop

Add the icon MCP server to your Claude Desktop configuration:

Windows: %APPDATA%\Claude\claude_desktop_config.json macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "icon-search": {
      "command": "npx",
      "args": ["icon-mcp"],
      "env": {
        "CACHE_TTL": "300000",
        "DEFAULT_SEARCH_LIMIT": "50",
        "LOG_LEVEL": "info"
      }
    }
  }
}
VS Code MCP Extension

Configure the MCP extension in VS Code settings:

{
  "mcp.servers": [
    {
      "name": "icon-search",
      "command": "npx",
      "args": ["icon-mcp"],
      "cwd": "${workspaceFolder}",
      "env": {
        "CACHE_TTL": "300000",
        "DEFAULT_SEARCH_LIMIT": "50"
      }
    }
  ]
}
Local Development Setup

For development with a local build:

{
  "mcpServers": {
    "icon-search-dev": {
      "command": "node",
      "args": ["dist/index.js"],
      "cwd": "/path/to/icon-mcp",
      "env": {
        "NODE_ENV": "development",
        "LOG_LEVEL": "debug",
        "CACHE_TTL": "60000"
      }
    }
  }
}
Docker Configuration

Using the Docker image:

{
  "mcpServers": {
    "icon-search-docker": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--env",
        "CACHE_TTL=300000",
        "--env",
        "LOG_LEVEL=info",
        "icon-mcp:latest"
      ]
    }
  }
}
Environment Variables for Client Configuration

Configure the server behavior through environment variables:

VariableDescriptionDefaultExample
CACHE_TTLCache time-to-live in milliseconds300000600000
CACHE_MAX_SIZEMaximum number of cached entries10002000
DEFAULT_SEARCH_LIMITDefault number of search results50100
FUZZY_THRESHOLDDefault fuzzy search threshold (0.0-1.0)0.30.5
LOG_LEVELLogging verbosityinfodebug
NODE_ENVEnvironment modeproductiondevelopment
Connection Verification

After configuring your MCP client, verify the connection:

  1. Check Server Status: The server should appear in your MCP client's server list
  2. Test Basic Tool: Try the list_libraries tool to verify connectivity
  3. Check Logs: Look for connection messages in the client logs
Troubleshooting
Common Issues

Server Not Starting

# Check if the package is installed
npm list -g icon-mcp

# Reinstall if needed
npm install -g icon-mcp

Permission Errors

# On Unix systems, ensure proper permissions
chmod +x $(which icon-mcp)

Icon Index Missing

# Build the icon index
cd /path/to/icon-mcp
npm run build-icons
Debug Mode

Enable debug logging for troubleshooting:

{
  "mcpServers": {
    "icon-search": {
      "command": "npx",
      "args": ["icon-mcp"],
      "env": {
        "LOG_LEVEL": "debug",
        "NODE_ENV": "development"
      }
    }
  }
}
Connection Testing

Test the server manually:

# Start the server directly
npx icon-mcp

# Or with debug output
LOG_LEVEL=debug npx icon-mcp
Advanced Configuration
Custom Icon Libraries

Configure additional icon libraries by setting up the icon index:

# Add custom libraries to package.json dependencies
npm install custom-icon-library

# Rebuild the icon index
npm run build-icons
Performance Tuning

For high-performance scenarios:

{
  "env": {
    "CACHE_TTL": "1800000",
    "CACHE_MAX_SIZE": "5000",
    "DEFAULT_SEARCH_LIMIT": "100",
    "FUZZY_THRESHOLD": "0.2"
  }
}
Memory Optimization

For memory-constrained environments:

{
  "env": {
    "CACHE_MAX_SIZE": "500",
    "DEFAULT_SEARCH_LIMIT": "25",
    "NODE_OPTIONS": "--max-old-space-size=512"
  }
}

📖 API Reference

Available Tools
search_icons

Search for icons by name across all or specific libraries with fuzzy matching.

Parameters:

  • query (string, required): Search term for icon names
  • libraries (string[], optional): Specific libraries to search in
  • fuzzy (boolean, optional): Enable fuzzy search (default: true)
  • limit (number, optional): Maximum results to return (default: 10)
  • threshold (number, optional): Fuzzy search threshold 0.0-1.0 (default: 0.3)
  • includeScore (boolean, optional): Include match scores (default: true)

Example:

{
  "query": "home",
  "libraries": ["bootstrap-icons", "feather"],
  "fuzzy": true,
  "limit": 20,
  "threshold": 0.3
}

Response:

{
  "query": "home",
  "results": [
    {
      "item": {
        "name": "house",
        "library": "bootstrap-icons",
        "tags": ["house", "home", "building"],
        "style": "regular",
        "path": "node_modules/bootstrap-icons/icons/house.svg",
        "categories": ["navigation"],
        "size": "16x16"
      },
      "score": 0.0
    }
  ],
  "totalResults": 15,
  "searchType": "fuzzy",
  "executionTime": 45,
  "libraries": ["bootstrap-icons", "feather"]
}
get_icon

Get detailed information about a specific icon.

Parameters:

  • id (string, required): Unique identifier of the icon
  • library (string, required): Library name where the icon is located

Example:

{
  "id": "house",
  "library": "bootstrap-icons"
}
list_libraries

Get a list of all available icon libraries.

Parameters: None

Response:

{
  "libraries": ["bootstrap-icons", "feather", "octicons", "lucide", "tabler-icons"],
  "count": 5
}
get_library_info

Get detailed information about a specific library.

Parameters:

  • library (string, required): Name of the library

Response:

{
  "name": "bootstrap-icons",
  "displayName": "Bootstrap Icons",
  "description": "Official open source SVG icon library for Bootstrap",
  "version": "1.11.3",
  "iconCount": 1800,
  "categories": ["navigation", "communication", "media", "ui"],
  "styles": ["regular"],
  "isAvailable": true
}
search_by_category

Find icons by category or tag with fuzzy matching.

Parameters:

  • category (string, required): Category name to search for
  • libraries (string[], optional): Specific libraries to search in
  • fuzzy (boolean, optional): Enable fuzzy search (default: true)
  • limit (number, optional): Maximum results to return (default: 10)

🏗️ Architecture

Core Components
src/
├── index.ts                 # Main MCP server entry point
├── providers/               # Icon provider implementations
│   ├── icon-provider.interface.ts
│   ├── base-npm-provider.ts
│   ├── heroicons.provider.ts
│   ├── bootstrap-icons.provider.ts
│   ├── feather.provider.ts
│   ├── octicons.provider.ts
│   ├── lucide.provider.ts
│   ├── simple-icons.provider.ts
│   └── tabler-icons.provider.ts
├── services/               # Core services
│   ├── search.service.ts   # Unified search service
│   └── cache.service.ts    # Caching service
├── tools/                  # MCP tools
│   └── index.ts           # Icon search tools
├── types/                  # TypeScript type definitions
│   └── index.ts
└── utils/                  # Utility functions
    └── errors.ts
Provider System

The provider system allows easy addition of new icon libraries:

export abstract class IconProvider {
  abstract initialize(): Promise<void>;
  abstract searchIcons(query: string, options?: FuseSearchOptions): Promise<FuseResult<Icon>[]>;
  abstract getIcon(id: string): Promise<Icon | null>;
  abstract getAllIcons(): Promise<Icon[]>;
  abstract getInfo(): Promise<IconLibrary>;
}
Search Service

The search service provides unified search across all providers:

  • Fuzzy Search: Powered by Fuse.js with configurable thresholds
  • Caching: Intelligent caching with TTL and LRU eviction
  • Filtering: Advanced filtering by library, style, category, and tags
  • Performance: Optimized for fast response times

🧪 Testing

# Run all tests
npm test

# Run tests with coverage
npm run test:coverage

# Run integration tests
npm run test:integration

# Run performance tests
npm run test:performance

🔧 Development

Setup Development Environment
git clone https://github.com/your-org/icon-mcp.git
cd icon-mcp
npm install

# Install icon library dependencies
npm install

# Build the project
npm run build

# Start in development mode
npm run dev
Adding New Icon Libraries
  1. Add the library as an NPM dependency:
npm install new-icon-library
  1. Create a provider class extending BaseNpmProvider:
export class NewLibraryProvider extends BaseNpmProvider {
  constructor() {
    super('new-library', 'New Library', '1.0.0', 'new-icon-library', ['icons/*.svg']);
  }

  protected getDescription(): string {
    return 'Description of the new library';
  }

  protected getSourceUrl(): string {
    return 'https://github.com/library/icons';
  }

  protected getLicense(): string {
    return 'MIT';
  }
}
  1. Register the provider in src/providers/index.ts:
registry.register(new NewLibraryProvider());
  1. Add the library configuration to scripts/build-index.js:
'new-icon-library': {
  name: 'new-library',
  displayName: 'New Library',
  description: 'Description of the new library',
  sourceUrl: 'https://github.com/library/icons',
  license: 'MIT',
  iconPaths: ['icons/*.svg'],
  styles: ['regular'],
}
Code Style
  • TypeScript: Strict mode enabled
  • ESLint: Configured with TypeScript rules
  • Prettier: Consistent code formatting
  • Husky: Pre-commit hooks for quality checks

📊 Performance

  • Search Speed: < 100ms for most queries with caching
  • Memory Usage: Efficient memory management with LRU caching
  • Scalability: Supports thousands of icons across multiple libraries
  • Fuzzy Search: Optimized Fuse.js configuration for best performance

🔒 Security

  • Input Validation: All inputs validated with Zod schemas
  • Output Sanitization: Safe handling of SVG content
  • Error Handling: Comprehensive error handling without information leakage
  • Dependencies: Regular security audits and updates

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Commit your changes: git commit -m 'Add amazing feature'
  4. Push to the branch: git push origin feature/amazing-feature
  5. Open a Pull Request
Development Guidelines
  • Write tests for new features
  • Follow TypeScript best practices
  • Update documentation for API changes
  • Ensure all CI checks pass

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • Fuse.js for powerful fuzzy search capabilities
  • Model Context Protocol for the standard protocol
  • All the icon library maintainers for their amazing work

📞 Support


Made with ❤️ for the developer community

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.