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Connects a live OpenRCT2 game so AI can analyze, optimize, and build coasters.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "openrct2-mcp" yet — see the docs or source repo.
Connect to the running OpenRCT2 park, read guest counts, finances, facility distribution, and satisfaction data, identify the top three issues affecting income and rating, and provide actionable optimization suggestions.
A park performance diagnosis report with key issues, root causes, and optimization actions.
Based on the current map terrain and available space, design a family-friendly roller coaster with moderate intensity, controlled cost, and strong appeal for the park.
A coaster building plan including layout approach, key parameters, and expected results.
Read the current park layout, analyze the distribution of paths, shops, rides, and service facilities, and recommend the next expansion area and facility mix.
An expansion recommendation list describing new areas, facility types, and layout priorities.
Connect AI coding assistants to OpenRouter for queries, file analysis, and batch tasks.
Convert OpenAPI specs into MCP tools for fast LLM API integration.
Build MCP servers quickly to expose app data and actions to AI clients.
Connect LLMs with ROS robots for intelligent control and automation.
Connect to the mcp API via MCP to extend AI tool capabilities.
Enable AI agents to play Library of Ruina through game state and UI control.