@codewithdan/ai-repo-adventure-mcp

@codewithdan/ai-repo-adventure-mcp

MCP (Model Context Protocol) server for AI-powered code repository exploration through interactive storytelling. Turn your codebase into an engaging adventure!

Features

• 🎮 Story-based Code Exploration: Interactive "choose your own adventure" experience
• 🤖 AI-Powered Narratives: Dynamic story generation using LLMs
• 🌟 Multiple Themes: Space, Mythical, Ancient, and Developer themes
• 📚 Educational Analogies: Complex concepts explained through storytelling
• 🔍 Smart Code Analysis: Automatic detection of technologies and patterns
• 📊 Progress Tracking: Track exploration completion

Installation

For Claude Desktop

• Install the package globally:

npm install -g @codewithdan/ai-repo-adventure-mcp

• Add to Claude Desktop configuration:

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "repo-adventure": {
      "command": "npx",
      "args": ["@codewithdan/ai-repo-adventure-mcp"],
      "cwd": "/path/to/project/you/want/to/explore"
    }
  }
}

For Development

npm install @codewithdan/ai-repo-adventure-mcp

Available MCP Tools

start_adventure

Analyzes your repository and presents theme options.

Parameters:

• projectPath (optional): Path to project directory

choose_theme

Generates a themed narrative adventure based on your selection.

Parameters:

• theme: "space", "mythical", "ancient", or "developer"

explore_quest

Explores specific parts of your codebase through narrative.

Parameters:

• choice: Quest number or title

view_progress

Shows your exploration progress and remaining quests.

Configuration

LLM Setup (Optional)

Create a .env file in your project:

# OpenAI
LLM_API_KEY=your_openai_key_here
LLM_BASE_URL=https://api.openai.com/v1
LLM_MODEL=gpt-4o-mini

# GitHub Models (free tier)
GITHUB_TOKEN=your_github_token_here
LLM_BASE_URL=https://models.inference.ai.azure.com
LLM_MODEL=gpt-4o-mini

# Azure OpenAI
LLM_API_KEY=your_azure_key_here
LLM_BASE_URL=https://your-resource.openai.azure.com/openai/deployments/your-deployment
LLM_MODEL=gpt-4o
LLM_API_VERSION=2025-01-01-preview

# Local Ollama
LLM_BASE_URL=http://localhost:11434/v1
LLM_API_KEY=ollama
LLM_MODEL=llama3.2

Adventure Configuration

Create an adventure.config.json in your project root:

{
  "adventure": {
    "name": "Your Project Name",
    "url": "https://github.com/yourusername/yourrepo"
  },
  "quests": [
    {
      "title": "Core Features",
      "description": "Explore the main functionality",
      "files": [
        {
          "path": "src/main.ts",
          "description": "Main entry point",
          "highlights": [
            {
              "name": "initializeApp",
              "description": "Application initialization"
            }
          ]
        }
      ]
    }
  ]
}

Example Usage Flow

1. start_adventure() 
   → Analyzes your project
   → Returns: "Choose Your Theme: 1. 🚀 Space 2. 🏰 Mythical 3. 🏛️ Ancient"

2. choose_theme("space")
   → Generates personalized story
   → Returns: Space-themed narrative with quest options

3. explore_quest("1")
   → Explores specific code area
   → Returns: Detailed narrative with code insights

4. view_progress()
   → Shows completion status
   → Returns: "33% complete, 2 quests remaining"

Supported Technologies

Automatically detects and creates characters for:

• Languages: TypeScript, JavaScript, Python, Java, Go, Rust, C#
• Frameworks: React, Vue, Angular, Node.js, Express
• Databases: MongoDB, PostgreSQL, MySQL
• Tools: Docker, Kubernetes, Jest, Cypress
• APIs: REST, GraphQL

Requirements

• Node.js 18.0.0 or higher
• Claude Desktop (or compatible MCP client)
• Optional: LLM API key for dynamic content

License

MIT

Author

Dan Wahlin

Links

• GitHub Repository
• Report Issues
• NPM Package