MCP server that enables AI agents to estimate, submit, monitor, and manage GPU workloads on Jungle Grid's agentic execution layer. Supports inference, training, finetuning, and batch jobs.
Jungle-Grid/mcp-server is an MCP (Model Context Protocol) server that integrates with Jungle Grid, a distributed GPU execution platform. It allows AI agents to programmatically interact with GPU resources, handling the full lifecycle of computational workloads from estimation through execution to monitoring.
The server enables agents to estimate resource requirements, submit inference, training, finetuning, and batch processing jobs, monitor their progress in real-time, and retrieve execution logs for debugging and analysis.
Installation requires: 1) Clone the repository from GitHub, 2) Install dependencies using your package manager, 3) Configure API credentials for Jungle Grid access, 4) Start the MCP server, 5) Connect it to your MCP-compatible client (Claude, ChatGPT, or other platforms).
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