Other MCP Server · MODEL CONTEXT PROTOCOL
allen munsch mcp prefect
https://pypi.org/project/mcp-prefect/0.1.0/
WHAT IT CONNECTS
allen munsch mcp prefect 为 AI Agent 提供什么
- **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
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。