Tetris MCP

Overview

The Tetris MCP server is a lightweight, HTTP‑based interface that exposes the classic Tetris game engine to AI assistants. By wrapping the popular online Tetris engine (fumen.zui.jp) with the Hono web framework, it allows a Claude or other LLM‑powered agent to play, analyze, and generate Tetris game states through a standard Model Context Protocol. This solves the problem of integrating real‑time, deterministic gameplay into conversational AI workflows without requiring custom game logic or heavy client‑side rendering.

Developers using AI assistants often need to query dynamic, stateful systems—such as a game board—to make decisions or generate content. The Tetris MCP makes this straightforward by providing a set of JSON‑based endpoints that accept board states, return legal moves, and even compute optimal strategies. Because the server is stateless from the perspective of the AI, each request can be treated as a single interaction in the conversation, enabling seamless chaining of actions like “evaluate this board” followed by “suggest the best next piece placement.”

Key capabilities include:

• Board representation: Accepts and returns board layouts in the widely used Fumen notation, allowing easy interchange with other Tetris tools.
• Move generation: Enumerates all legal placements for a given tetromino, enabling the AI to reason about possible futures.
• Scoring simulation: Computes line clears and score increments for any proposed move, giving the assistant concrete metrics to discuss.
• Strategy hints: Offers simple heuristics (e.g., minimizing holes, maximizing height) that can be surfaced as recommendations or explanations.

Typical use cases span educational tools (teaching algorithmic game theory), AI‑driven puzzle generation, or interactive storytelling where a character’s choices are governed by Tetris mechanics. In a developer workflow, an AI assistant could propose code snippets that manipulate the board state, or generate narrative text describing a player’s actions based on the MCP responses. Because the server uses Hono, it is trivially deployable to edge platforms or containerized environments, ensuring low latency and high scalability.

What sets the Tetris MCP apart is its focus on a classic, well‑understood game while leveraging modern web tooling. The combination of Fumen’s universal board format, Hono’s minimal footprint, and MCP’s declarative interface means that developers can plug this server into existing AI pipelines with minimal friction, gaining a powerful, game‑centric data source that enriches conversations and automates complex reasoning tasks.