# Machine Learning

> Browse 14 items tagged with Machine Learning.

## Items

- [Hugging Face MCP Server](https://mcpserver.ever.works/items/hugging-face-mcp-server) — Official Model Context Protocol server connecting AI assistants directly to the Hugging Face Hub. Enables searching models, datasets, Spaces, papers, and running community tools via MCP-compatible Gradio apps from within editors and chat interfaces.
- [AutoML MCP](https://mcpserver.ever.works/items/automl-mcp) — An MCP server for data analysis workflows including reading, preprocessing, feature engineering, model selection, visualization, and hyperparameter tuning.
- [Optuna](https://mcpserver.ever.works/items/optuna) — Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with Optuna optimization framework for machine learning.
- [Modal Labs MCP Server](https://mcpserver.ever.works/items/modal-labs-mcp-server) — Model Context Protocol server for Modal's serverless GPU cloud platform, providing AI agents with tools to manage model deployments, container execution, and serverless compute through natural language.
- [RunPod MCP Server](https://mcpserver.ever.works/items/runpod-mcp-server) — Official RunPod MCP server that connects AI tools to RunPod's GPU cloud infrastructure using the Model Context Protocol for managing serverless GPU deployments, containers, and ML workloads.
- [MLflow MCP Server](https://mcpserver.ever.works/items/mlflow-mcp-server) — Machine learning experiment tracking server that enables AI applications to interact with MLflow traces, experiments, and model registry through natural language queries. Provides tools for run comparison, artifact access, and model management.
- [Ray MCP Server](https://mcpserver.ever.works/items/ray-mcp-server) — Distributed computing framework integration for managing Ray clusters, jobs, and actors with real-time monitoring. Enables scaling machine learning training from single machine to cloud clusters with LLM-enhanced output support.
- [Weights & Biases MCP Server](https://mcpserver.ever.works/items/weights-biases-mcp-server) — ML experiment tracking and model management server enabling AI assistants to query W&B runs, sweeps, Weave traces, evaluations, and datasets. Integrates with wandbot support agent for comprehensive ML workflow assistance.
- [Akkio MCP Server](https://mcpserver.ever.works/items/akkio-mcp-server) — An MCP Server that connects to Akkio’s AI data platform, allowing AI agents to run analytics and machine learning workflows via MCP.
- [Amazon SageMaker AI MCP Server](https://mcpserver.ever.works/items/amazon-sagemaker-ai-mcp-server) — MCP server that manages Amazon SageMaker AI resources and supports model development workflows, allowing AI assistants and tools to interact with SageMaker via MCP.
- [astica.ai MCP Server](https://mcpserver.ever.works/items/asticaai-mcp-server) — An MCP Server for astica.ai that lets MCP-compatible tools integrate astica’s AI capabilities without managing ML infrastructure.
- [BigML MCP Server](https://mcpserver.ever.works/items/bigml-mcp-server) — An MCP Server that integrates with BigML’s machine learning platform, allowing MCP clients to build, train, and operationalize ML models via standardized MCP calls.
- [Datarobot MCP Server](https://mcpserver.ever.works/items/datarobot-mcp-server) — MCP server for DataRobot, connecting to its enterprise AI platform and automation capabilities.
- [Datumbox MCP Server](https://mcpserver.ever.works/items/datumbox-mcp-server) — MCP server for Datumbox, a machine learning platform specialized in natural language processing.

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_Canonical page: https://mcpserver.ever.works/tags/machine-learning_