Other MCP Server · MODEL CONTEXT PROTOCOL

allen munsch mcp prefect

https://pypi.org/project/mcp-prefect/0.1.0/

WHAT IT CONNECTS

What allen munsch mcp prefect gives an AI Agent

  • **Flow Management**: List, get, and delete flows
  • **Flow Run Management**: Create, monitor, and control flow runs
  • **Deployment Management**: Manage deployments and their schedules
  • **Task Run Management**: Monitor and control task runs
  • **Work Queue Management**: Create and manage work queues
  • **Block Management**: Access block types and documents
  • **Variable Management**: Create and manage variables
  • **Workspace Management**: Get information about workspaces
  • "Show me all my flows"
  • "List all failed flow runs from yesterday"
  • "Trigger the 'data-processing' deployment"
  • "Pause the schedule for the 'daily-reporting' deployment"
  • "What's the status of my last ETL flow run?"
  • Add the function to the appropriate module in `src/mcp_prefect`
  • Add the function to the `get_all_functions()` list in the module
  • Add the new type to `APIType` in `enums.py`
  • Create a new module in `src/prefect/`
  • Update `main.py` to include the new API type

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.