Enables AI agents to interactively explore PDDL planning problems by exposing a PDDL engine as MCP tools for initialization, action execution, state inspection, and goal checking.
Getting started
Add pypddlengine to your MCP-capable client — Claude Code, Cursor, Codex, and others — by following the setup at the source, which documents the exact command, configuration, and any required API keys.
