rl-mcp is an open-source Model Context Protocol server for observing, diagnosing, and steering running reinforcement-learning training jobs. It can be used by AI agents or shell-based workflows with RL and robotics environments such as MuJoCo and mjlab.
rl-mcp sits in PulseGate's Frameworks & runtimes category. It focuses on monitoring and controlling running reinforcement-learning jobs without manually inspecting or interrupting training processes. rl-mcp is an open-source project aimed at reinforcement-learning researchers and robotics developers. The project is open source (Apache-2.0). It ships for the command line and API, and it can be self-hosted.
Behind rl-mcp is mktk1117, and it first shipped in 2026. Development happens publicly on GitHub with 158 commits in the last 90 days. Key capabilities include job monitoring, training diagnosis, and run steering. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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