Prefect

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This tool provides a Model Context Protocol (MCP) server implementation for Prefect, empowering AI assistants to seamlessly manage and monitor Prefect workflows using natural language commands. It serves as a bridge, translating conversational prompts into actionable Prefect API calls, simplifying interaction with flows, deployments, and runs, thereby enhancing productivity and automation in data orchestration.

Características Principales

• Administer deployments and their schedules
• Manage Prefect flows (list, get, delete)
• 10 GitHub stars
• Create, monitor, and control Prefect flow runs
• Monitor and control task runs
• Create and manage work queues and variables

Casos de Uso

• Querying Prefect for flow and run status using natural language
• Triggering or pausing Prefect deployments and schedules via AI commands
• Listing specific flow runs, such as failed runs from a given period