MCP cover image
See in Github
2025-03-01

1

Github Watches

0

Github Forks

3

Github Stars

Remix Icon MCP

Twitter Follow

English | 简体中文

A powerful icon search and recommendation service built on Cloudflare Workers, providing intelligent icon discovery through advanced semantic matching algorithms.

Features

  • Smart Icon Search: Find icons based on natural language descriptions using multiple similarity algorithms
  • Multi-language Support: Optimized for both English and Chinese text input
  • Category Management: Browse and search icons by categories
  • Advanced Matching: Uses multiple algorithms for better search results:
    • Jaccard Similarity
    • N-gram Matching
    • Category Matching
    • Exact Matching
    • Levenshtein Distance
    • Name Matching
    • Tag-based Matching
  • Inverted Index: Fast preliminary search using an inverted index
  • Caching: LRU caching for improved performance

API Endpoints

Find Icons

findIcons(description: string): ResponseContent[]

Finds icons based on user description, returns top 5 recommendations with similarity scores.

Get Icon Categories

getIconCategories(): ResponseContent[]

Returns a list of all available icon categories.

Find Icons by Category

findIconsByCategory(description: string, category: string): ResponseContent[]

Searches for icons within a specific category based on description, returns top 5 recommendations.

Project Structure

.
├── src/                   # Source code directory
│   ├── index.ts           # Main entry point
│   ├── data/              # Data files including icon catalog
│   ├── domain/            # Domain models and services
│   │   ├── icon/          # Icon domain models
│   │   └── search/        # Search functionality
│   ├── infrastructure/    # Infrastructure components
│   │   ├── logging/       # Logging utilities
│   │   └── result/        # Result handling
│   └── utils/             # Utility functions
│       ├── similarity/    # Similarity calculation algorithms
│       └── text/          # Text processing utilities
├── tests/                 # Test files
│   ├── integration/       # Integration tests
│   └── unit/              # Unit tests
└── wrangler.jsonc         # Cloudflare Workers configuration

Technical Details

  • Built on Cloudflare Workers platform
  • Uses LRU caching for performance optimization
  • Implements weighted multi-algorithm similarity scoring
  • Supports both character and word-level matching for Chinese text
  • Configurable similarity thresholds and weights
  • Uses inverted index for faster preliminary search

Performance Optimization

  • Implements caching with LRU (Least Recently Used) strategy
  • Maximum cache size: 2000 entries
  • Minimum score threshold: 0.08
  • Optimized similarity calculations for both English and Chinese text
  • Two-tier search strategy: inverted index for fast preliminary results, followed by detailed scoring

Response Format

All endpoints return responses in the following format:

interface ResponseContent {
    type: 'text';
    text: string;
}

Development

This project is built using TypeScript and Cloudflare Workers. The main functionality is implemented in the RemixIconMCP class which extends WorkerEntrypoint.

Setup and Deployment

# Install dependencies
npm install

# Run development server
npm run dev

# Deploy to Cloudflare Workers
npm run deploy

# Run tests
npm run test

License

MIT License

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • https://jgadvisorycpa.com
  • This GPT assists in finding a top-rated business CPA - local or virtual. We account for their qualifications, experience, testimonials and reviews. Business operators provide a short description of your business, services wanted, and city or state.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • apappascs
  • Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.

  • ShrimpingIt
  • Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX

  • OffchainLabs
  • Aller la mise en œuvre de la preuve de la participation Ethereum

  • huahuayu
  • Une passerelle API unifiée pour intégrer plusieurs API d'explorateur de blockchain de type étherscan avec la prise en charge du protocole de contexte modèle (MCP) pour les assistants d'IA.

    Reviews

    1 (1)
    Avatar
    user_WzY3lMW9
    2025-04-18

    I've been using mcp-server-remix-icon and I'm thoroughly impressed with its performance. This tool, developed by FradSer, offers a seamless integration for managing server icons. The GitHub repository provides clear documentation and the setup is straightforward. Highly recommended for anyone looking for an efficient solution in server icon management! Check it out at https://github.com/FradSer/mcp-server-remix-icon.