Minesweeper MCP Server is an MCP server that allows client agents to play the classic puzzle game of Minesweeper programmatically through tool calls. It connects an underlying Minesweeper game engine directly to Model Context Protocol clients, such as Claude Desktop or autonomous agent environments. Developers, AI researchers, and hobbyists use this integration to evaluate language model reasoning, spatial awareness, and automated logic solving. By exposing game state data and user actions as callable tools, the server enables connected models to examine grid dimensions, calculate mine probabilities, uncover safe squares, and mark suspected mine locations. Users can observe how agents handle incomplete information, sequential decision-making, and deductive logic across various grid configurations. Because it follows standard protocol conventions, agents interact directly with the game mechanics through text and structured parameters, providing a lightweight, reproducible environment for testing algorithmic gameplay, benchmark evaluation, and interactive entertainment without needing manual human intervention.
Category: Other & General Purpose
Tags: entertainment, games, minesweeper
claude_desktop_config.json). 5. Add an entry under the mcpServers object referencing the executable command specified in the project documentation. 6. Restart your MCP client to load the server and verify that the Minesweeper tools are available for interaction.Part of MCP Servers
Minesweeper MCP Server is an integration built on the Model Context Protocol that allows AI agents to interact with a Minesweeper game engine. By exposing board interactions as discrete tools, it enables language models to inspect board states, uncover cells, and flag hidden mines autonomously within compatible conversational interfaces.
The server works with any client application supporting the standard Model Context Protocol. Common examples include Claude Desktop, Cursor, and custom agent runtimes configured with MCP client libraries. As long as the client can launch or connect to local MCP servers, it can utilize the Minesweeper tools.
The server enables AI models to interact with the game of Minesweeper via structured function calls. Agents can view the current state of revealed numbers, track remaining hidden tiles, flag positions thought to contain mines, and clear safe squares until reaching victory or detonating a mine.
To install the server, visit the official GitHub repository at https://github.com/MCP-Mirror/tonypan2_minesweeper-mcp-server. Clone the repository locally, follow the project setup instructions to install any required runtime dependencies, and register the resulting command in your client configuration file before restarting your client.