Prefect
Enables AI assistants to interact with Prefect through a Model Context Protocol (MCP) server.
About
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.
Key Features
- 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
Use Cases
- 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
Sponsored