Frequently Asked Questions about MCPGame

Q: What is MCPGame? A: MCPGame is a multiplayer control panel game built with Node.js, featuring a virtual house environment with interactive elements.

Q: What technologies are used to build MCPGame? A: MCPGame uses Three.js for 3D rendering, Node.js and Express.js for the backend server, and other libraries for specific functionalities.

Q: How do I install and run MCPGame? A: First, install the dependencies using npm install. Then, run the server using npm start (or npm run dev for development).

Q: What are the game controls? A: Use WASD keys for movement, mouse movement to look around, ENTER to interact, and ESC to exit interfaces and mouse lock.

Q: How does the TV image display system work? A: The TV displays images from the server/openai-server/public/image directory. Add images to this directory to have them displayed on the TV.

Q: How do I add new images to the TV? A: Place image files (jpg, jpeg, png, gif, webp) in the server/openai-server/public/image directory. The system will automatically detect and display them.

Q: Can I connect MCPGame to an external MCP Backend Server? A: Yes, you can connect MCPGame to an external MCP Backend Server to enable advanced AI functionality. Update the MCP_BACKEND_URL in the main.js file to point to your backend server.

Q: What API endpoints does my MCP Backend Server need to implement? A: Your MCP Backend Server should implement GET /api/status and POST /api/query endpoints.

Q: How can UBOS enhance MCPGame? A: UBOS can be integrated to create more complex and contextual interactions, dynamic environment control, and data-driven insights by using AI Agents to enhance MCPGame elements.

Q: Where can I find more information about UBOS? A: You can find more information about UBOS on their website: https://ubos.tech.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.