MindBotz RunPod Agent Framework is the foundational control plane designed to transform GPU-accelerated applications, creative AI tools, and agent workstations into consistently managed, RunPod-ready containers. It provides a standard HTTP API for managing health, status, files, and jobs, alongside an MCP server that exposes these actions as tools for AI agents. Utilizing an adapter pattern, it allows seamless integration of various projects like ComfyUI, Whisper, vLLM, or custom applications, all within a RunPod-first Docker template that includes optional GUI and file browser ports, making it ideal for robust and secure AI deployment.
Key Features
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02MCP server exposing actions as tools for AI agents
03Standardized HTTP API for health, status, files, and job management
04Adapter pattern for clean integration of diverse projects
05RunPod-first Docker template with documented ports
06Safe job runner with optional command execution
Use Cases
01Establishing a base control plane for future MindBotz RunPod workstations
02Integrating existing GPU applications and AI tools (e.g., ComfyUI, vLLM) into a unified framework
03Developing and deploying custom GPU-accelerated AI applications on RunPod
