"author:prepaser" matching MCP servers:

MCP chess runtime that lets LLMs play, analyze, and adapt strength by exposing Stockfish, human move likelihood (Maia3), and Lichess statistics, with the LLM handling strategy and the server handling computation.

Enables agents to start and check monotonic elapsed-time timers so they can verify whether a user-requested minimum task duration has been met, including during tool waits.

Enables local chess move validation and game state management for standard and variant rules via MCP, without engine recommendations.

Enables LLM agents to run persistent Python code in a workspace-scoped shared kernel, with tools for execution, background tasks, file operations, and external MCP integrations.