Provides a versatile MCP server offering practical tools for ML engineering workflows, including local and remote code execution, file management, remote GPU integration, and an LLM proxy.
MLE Kit is an MCP server designed to streamline Machine Learning engineering workflows by consolidating essential development tools. It enables users to execute bash commands, edit files, and perform content searches both locally within a Docker container and remotely on GPU instances provisioned via vast.ai. Additionally, it offers an OpenAI-compatible proxy backed by OpenRouter for integrating Large Language Model capabilities directly into development tasks, whether executed locally or on remote GPUs. This comprehensive toolkit aims to enhance productivity and flexibility for ML engineers working with distributed resources.