Kick MCP Server – README | MCP Marketplace

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🚀 Kick MCP Server smithery badge

Notable Opportunities Shape Your Tomorrow | Nosyt Labs

License: MIT MCP Version Node.js Version Docker Compatible Topics

📋 Table of Contents

  • Project Overview
  • Value Proposition
  • Quick Start
  • Features
  • Installation
  • Configuration
  • Usage
  • Developer Guide
  • API Reference
  • Support
  • License

🎯 Project Overview

The Kick MCP Server is an unofficial integration tool that enables AI models to interact with Kick’s platform through a standardized interface. It provides access to all 80+ Kick API endpoints, making it easier for developers to build AI-powered features for streamers and viewers.

Key Features

  • Complete Kick API coverage (80+ endpoints)
  • Secure OAuth 2.0 authentication
  • Real-time event handling
  • Built-in rate limiting and error handling
  • Easy integration with AI models

Important Note

This is an unofficial project and is not affiliated with or endorsed by Kick. Use at your own risk. The API endpoints and functionality may change without notice.

🔄 Value Proposition

Why Use Our MCP Server?

  1. Standardized Interface

    • Provides a consistent way to interact with Kick’s services
    • Abstracts away API complexity
    • Reduces development time and effort
  2. Enhanced Security

    • Built-in OAuth 2.0 with PKCE support
    • Automatic token refresh and validation
    • Rate limiting and error handling
  3. Real-time Capabilities

    • WebSocket support for live updates
    • Event-driven architecture
    • Low latency communication
  4. AI Integration

    • Designed specifically for AI model interaction
    • Standardized input/output formats
    • Built-in support for AI features

Value for Different Users

For Streamers

Stream Management & Automation

  • Automated Stream Setup

    // Schedule and start streams automatically
    await mcp.scheduleStream({
      title: "Gaming Night",
      start_time: "2024-03-20T20:00:00Z",
      category: "Gaming"
    });
    
  • Viewer Engagement

    // Create interactive polls
    await mcp.createPoll({
      channel_id: "123",
      question: "What game should we play next?",
      options: ["Valorant", "Apex Legends", "Fortnite"]
    });
    
  • Content Creation

    // Automatically create highlights
    await mcp.createHighlight({
      channel_id: "123",
      title: "Epic Play",
      timestamp: "2024-03-20T21:30:00Z",
      duration: 60
    });
    
  • Advanced Moderation

    // Set up automated moderation rules
    await mcp.setModerationRules({
      channel_id: "123",
      rules: {
        spam_detection: true,
        toxicity_filter: true,
        auto_timeout: true
      }
    });
    
For Viewers

Enhanced Viewing Experience

  • Personalized Recommendations

    // Get recommended streams based on viewing history
    const recommendations = await mcp.getRecommendedStreams({
      user_id: "456",
      limit: 5
    });
    
  • Community Interaction

    // Join and manage communities
    await mcp.joinCommunity({
      community_id: "789",
      user_id: "456"
    });
    
  • Content Discovery

    // Search for specific content
    const results = await mcp.searchContent({
      query: "gaming",
      type: "stream",
      sort: "viewers"
    });
    
  • Chat Enhancement

    // Use AI-powered chat features
    await mcp.enableChatFeatures({
      user_id: "456",
      features: ["emote_suggestions", "chat_translation"]
    });
    
For Developers

Chat Bot Development

  • Bot Integration

    // Create a chat bot
    const bot = new MCPBot({
      channel_id: "123",
      commands: {
        "!hello": async (msg) => {
          await mcp.sendChatMessage({
            channel_id: msg.channel_id,
            message: `Hello ${msg.user_name}!`
          });
        }
      }
    });
    
  • Analytics & Insights

    // Get detailed analytics
    const analytics = await mcp.getChannelAnalytics({
      channel_id: "123",
      metrics: ["viewers", "chat_messages", "followers"],
      timeframe: "last_7_days"
    });
    
  • Integration Development

    // Create custom integrations
    const integration = new MCPIntegration({
      name: "MyIntegration",
      events: ["chat_message", "follow", "subscription"],
      handlers: {
        onChatMessage: async (msg) => {
          // Custom logic here
        }
      }
    });
    
  • Custom Features

    // Extend MCP functionality
    class CustomMCP extends MCP {
      async customMethod(params) {
        // Custom implementation
      }
    }
    

🚀 Quick Start

Using Smithery (Recommended)

  1. Install Smithery CLI:
npm install -g @smithery/cli
  1. Initialize and Configure:
smithery init
smithery config set KICK_CLIENT_ID your_client_id
smithery config set KICK_CLIENT_SECRET your_client_secret
  1. Install and Start:
smithery install @NosytLabs/kickmcp
📦 Manual Installation

Prerequisites

  • Node.js 18 or higher
  • Git

Steps

  1. Clone the repository
  2. Install dependencies:
npm install
  1. Copy .env.example to .env
  2. Configure environment variables
  3. Start the server:
npm run dev

⚡ Features

Core Features

  • 🔐 Secure OAuth 2.0 Authentication
    • PKCE support
    • Token refresh & validation
    • Token revocation
  • 🔄 Real-time Communication
    • WebSocket support
    • Event-driven architecture
    • Low latency updates
  • 🛡️ Enterprise-grade Security
    • Rate limiting
    • Input validation
    • Error handling
    • Logging
View More Features

Advanced Features

  • AI Integration
    • Chat analysis
    • Content recommendations
    • Automated moderation
  • Analytics
    • Viewer statistics
    • Chat metrics
    • Revenue tracking
  • Automation
    • Stream scheduling
    • Chat commands
    • Event triggers

⚙️ Configuration

# Required
KICK_CLIENT_ID=your_client_id
KICK_CLIENT_SECRET=your_client_secret

# Optional
PORT=3000                    # Server port (default: 3000)
NODE_ENV=development        # Environment (development/production)
LOG_LEVEL=info             # Logging level (error/warn/info/debug)
View Advanced Configuration

Rate Limits

  • Authentication: 100 requests per minute
  • Chat Operations: 50 messages per 30 seconds
  • Moderation Actions: 20 actions per minute
  • API Requests: 1000 requests per hour

Best Practices

// Implement exponential backoff
const retryWithBackoff = async (fn, maxRetries = 3) => {
  let retries = 0;
  while (retries < maxRetries) {
    try {
      return await fn();
    } catch (error) {
      if (error.status === 429) {
        await new Promise(r => setTimeout(r, Math.pow(2, retries) * 1000));
        retries++;
      } else throw error;
    }
  }
};

📚 API Reference

See our detailed API Reference for complete documentation of all available endpoints and methods.

Quick API Examples

Authentication

// Get OAuth URL
const authUrl = await mcp.getOAuthUrl();

// Get Access Token
const token = await mcp.getAccessToken(code);

Chat Operations

// Send message
await mcp.sendChatMessage({
  channel_id: "123",
  message: "Hello!"
});

// Moderate chat
await mcp.timeoutUser({
  channel_id: "123",
  user_id: "456",
  duration: 300
});

💬 Support

For support, email support@nosytlabs.com

Support Our Work

PlatformAddress
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GitHub SponsorsSponsor

📝 License

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


Made with ❤️ by NosytLabs

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