FastMCP Todo Server

# Terraria MCP Integration - Game-Based AI Tool Management **Vision:** Transform MCP tools into inventory items that can be equipped, combined, and used within Terraria gameplay, making AI interaction accessible and intuitive for all ages. ## Core Concept **MCP Tools as Inventory Items:** - Each Omnispindle tool becomes a craftable/findable item - Tools have durability, rarity, and combination mechanics - Players "equip" tools to modify AI request context - Complex queries require multiple tools in inventory **Educational Benefits:** - Kids learn prompt engineering through resource management - Tool combination teaches AI workflow composition - Inventory limits force thoughtful context selection - Game progression mirrors AI competency development ## Implementation Strategy ### Phase 1: Basic Tool Items (Proof of Concept) ``` Todo Scroll (Common) - Enables add_todo, query_todos Knowledge Tome (Uncommon) - Enables add_lesson, search_lessons Project Compass (Rare) - Enables list_projects, project-specific queries Admin Scepter (Epic) - Enables update_todo, delete_todo ``` ### Phase 2: Tool Combination System ``` Todo Scroll + Project Compass = Project Todo Manager Knowledge Tome + Admin Scepter = Knowledge Editor Multiple tools = Enhanced context window ``` ### Phase 3: Advanced Mechanics ``` Tool Durability - Heavy AI usage degrades tools Tool Enchanting - Improve tool effectiveness/context limits Tool Crafting - Combine basic tools into specialized ones NPC AI Assistant - In-game helper that uses equipped tools ``` ## Technical Architecture ### Mod Components - **Inventory Hook** - Detects equipped MCP tools - **Context Builder** - Translates inventory to MCP configuration - **Request Manager** - Handles AI queries with game context - **Response Renderer** - Displays AI responses in game UI ### MCP Integration Points - **Tool Detection** → Update active MCP tool loadout - **Player Context** → Inject game state into AI requests - **Response Handling** → Parse AI responses into game actions - **Permission System** → Tool availability based on game progression ### Example Workflow 1. **Player equips Todo Scroll + Project Compass** 2. **Mod detects inventory change** 3. **Activates MCP tools: add_todo, query_todos, list_projects** 4. **Player types: "/ai Create todo for building castle in current world"** 5. **AI receives context: world_name, player_position, equipped_tools** 6. **AI creates todo with Terraria-specific metadata** 7. **Response appears in game chat with quest-like formatting** ## User Experience Goals ### For Kids (8-12) - **Visual tool recognition** - Clear item sprites and descriptions - **Simple combinations** - Drag and drop tool mixing - **Immediate feedback** - Tools glow when AI is thinking - **Progression rewards** - Unlock better tools through gameplay ### For Teens/Adults (13+) - **Advanced combinations** - Complex tool interactions - **Efficiency optimization** - Limited inventory forces strategic choices - **Workflow automation** - Chain AI requests through tool sequences - **Community sharing** - Trade rare tools, share AI workflows ## Development Phases ### MVP (2-3 months) - Basic MCP tool items (5 core tools) - Simple equip/unequip mechanics - Text-based AI interaction via chat commands - Tool availability based on equipped items ### Beta (3-6 months) - Tool combination system - In-game AI response rendering - Tool durability and maintenance - Player progression integration ### Full Release (6-12 months) - Complete tool ecosystem (20+ tools) - Advanced crafting and enchanting - Multi-player AI collaboration - Educational curriculum integration ## Educational Impact **Prompt Engineering Skills:** - Resource management teaches context optimization - Tool combinations demonstrate prompt composition - Inventory limits encourage concise, effective requests - Visual feedback helps understand AI capabilities **Programming Concepts:** - Tool combinations mirror function composition - Context management teaches variable scope - API integration through game mechanics - Debugging through trial-and-error gameplay **Real-World Applications:** - Kids graduate to professional MCP tools - Understanding carries over to ChatGPT, Claude, etc. - Workflow thinking applies to any AI system - Natural progression from game to productivity tools ## Success Metrics **Engagement:** - Average session time with AI tools equipped - Tool combination discovery rate - Player retention after tool introduction **Learning:** - Improvement in AI request quality over time - Successful tool combination usage - Transition rate to non-game MCP tools **Community:** - Tool trading frequency - Shared workflow popularity - Educational content creation by players --- *"Make AI accessible through play, make learning inevitable through fun"* ## Next Steps 1. **Prototype basic tool items** in Terraria mod framework 2. **Implement MCP client integration** for game context 3. **Design tool progression system** tied to game advancement 4. **Test with focus groups** across different age ranges 5. **Refine based on actual gameplay patterns** The future of AI education might just be hiding in your inventory slot.