Rockfish

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The Rockfish MCP Server acts as a Model Context Protocol (MCP) server, providing a standardized interface for AI assistants to access and manage various resources within the Rockfish machine learning platform. It offers comprehensive tools to interact with Rockfish's API, allowing for the programmatic management of databases, worker sets, workflows, models, projects, and datasets, thereby streamlining machine learning operations and facilitating AI-driven automation.

Características Principales

• Organize and manage projects and datasets
• Upload, list, and manage ML models
• Manage Rockfish databases (create, list, update, delete)
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• Control worker sets for distributed processing
• Create and oversee machine learning workflows

Casos de Uso

• Integrating Rockfish's machine learning capabilities with AI assistants like Claude Desktop
• Programmatically managing ML resources (databases, models, workflows) via a standardized API
• Debugging and testing Model Context Protocol (MCP) server functionality with the MCP Inspector