rl-mcp

mktk1117/rl-mcp
★ 3 stars Python AI/LLM Updated 1d ago
Wrap rl training env to make it a mcp-server.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "rl-mcp": {
      "command": "uvx",
      "args": [
        "rl-mcp"
      ]
    }
  }
}

Or install with pip: pip install rl-mcp

README Excerpt

**Watch, diagnose and steer a live RL training run — from an AI agent, or from your shell.** Training a policy is a slow feedback loop. Launch, wait an hour, squint at TensorBoard, guess which reward weight was wrong, relaunch. rlmcp shortens it. Attach it to a running job and you can ask the live process what the robot is