Brawl Stars MCP

Brawl Stars MCP

Provides AI assistants with access to real-time Brawl Stars game data including player statistics, club information, brawler details, battle logs, and current events through the Brawl Stars API.

Category
访问服务器

README

Brawl Stars MCP

A Model Context Protocol (MCP) server that wraps the Brawl Stars API, providing easy access to game data, player statistics, and club information for AI assistants and LLMs.

🎮 What is this?

This is a Model Context Protocol (MCP) server that allows AI assistants and Large Language Models (LLMs) to access real-time Brawl Stars game data. It's designed to be integrated with AI tools like Claude, GPT-4, or any MCP-compatible AI assistant.

✨ Features

  • Player Data: Get player profiles, statistics, and battle logs
  • Brawler Information: Access brawler details, stats, star powers, and gadgets
  • Club Data: Retrieve club information and member lists
  • Battle Logs: Get recent battle history and results
  • Game Modes: Access information about different game modes
  • Maps: Get map data and rotation information
  • Events: Current and upcoming events
  • Automatic Tag Cleaning: Handles Brawl Stars player/club tags with proper URL encoding

🚀 Installation

Prerequisites

As an NPM Package (Recommended)

npm install -g brawl-stars-mcp

From Source

  1. Clone this repository:

    git clone https://github.com/LRxDarkDevil/Brawl-Stars-MCP.git
    cd Brawl-Stars-MCP
    
  2. Install dependencies:

    npm install
    
  3. Build the project:

    npm run build
    

🤖 AI Integration

What is MCP?

Model Context Protocol (MCP) is a standard that allows AI assistants to securely connect to external data sources and tools. This server enables AI assistants to access real-time Brawl Stars data.

Supported AI Platforms

This MCP server works with any AI assistant that supports the Model Context Protocol, including:

  • Claude Desktop (Anthropic)
  • GPT-4 with MCP plugins
  • Custom AI assistants using MCP SDK
  • Cursor AI (with MCP support)

Integration Instructions

For Claude Desktop

  1. Get your Brawl Stars API token from the Brawl Stars Developer Portal

  2. Install the MCP server:

    npm install -g brawl-stars-mcp
    
  3. Configure Claude Desktop:

    • Open Claude Desktop
    • Go to Settings → Model Context Protocol
    • Add a new server with these settings:
      Name: Brawl Stars
      Command: npx
      Arguments: brawl-stars-mcp --token YOUR_API_TOKEN_HERE
      
  4. Restart Claude Desktop and start asking about Brawl Stars!

For Other AI Assistants

Add this configuration to your MCP config file:

{
  "mcpServers": {
    "brawlstars": {
      "command": "npx",
      "args": ["brawl-stars-mcp", "--token", "YOUR_API_TOKEN_HERE"]
    }
  }
}

Example AI Conversations

Once integrated, you can ask your AI assistant questions like:

  • "Get player information for #98VC8YUR"
  • "Show me the battle log for player #2Y0J0Q0"
  • "What are the stats for Shelly brawler?"
  • "Get information about club #CCY9CGPQ"
  • "Show me all available brawlers"
  • "What events are currently running?"

📚 API Reference

The MCP provides the following functions:

Function Description Parameters
get_player Get player information by tag tag (string)
get_player_battlelog Get player's recent battles tag (string)
get_brawler Get brawler information by ID id (number)
get_brawlers Get all available brawlers None
get_club Get club information by tag tag (string)
get_club_members Get club member list tag (string)
get_events Get current and upcoming events None
get_maps Get available maps None
get_game_modes Get game modes information None

🔧 Development

Building from Source

# Install dependencies
npm install

# Build the project
npm run build

# Run in development mode
npm run dev

# Test the build
npm start -- --token YOUR_API_TOKEN_HERE

Project Structure

src/
├── api/
│   └── brawlstars-api.ts    # Main API wrapper
├── types/
│   ├── index.ts             # Type definitions
│   └── schemas.ts           # Zod schemas for validation
├── utils/
│   └── helpers.ts           # Utility functions
└── index.ts                 # MCP server entry point

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

🛠️ Troubleshooting

Common Issues

"Resource not found" error:

  • Make sure the player/club tag is correct
  • Verify your API token is valid
  • Check if the player/club still exists

"API token is required" error:

  • Ensure you're passing the --token argument
  • Verify your API token from the Brawl Stars Developer Portal

MCP connection issues:

  • Restart your AI assistant after adding the MCP server
  • Check that the command and arguments are correct
  • Ensure Node.js is installed and accessible

📄 License

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

🙏 Acknowledgments

Note: This tool is designed for AI assistants and LLMs.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选