Mctx provides JAX-native implementations of Monte Carlo tree search algorithms such as AlphaZero, MuZero, and Gumbel MuZero. The library enables efficient batched search operations with full JIT-compilation support, leveraging hardware accelerators for high-throughput inference. It is designed to work with deep neural network parameterized environment models, making it suitable for advanced reinforcement learning research and applications.