Prefect MCP Server

A Model Context Protocol (MCP) server implementation for Prefect, allowing AI assistants to interact with Prefect through natural language.

Features

This MCP server provides access to the following Prefect APIs:

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

Configuration

Set the following environment variables:

export PREFECT_API_URL="http://localhost:4200/api"  # URL of your Prefect API
export PREFECT_API_KEY="your_api_key"               # Your Prefect API key (if using Prefect Cloud)

Usage

Run the MCP server, and prefect:

docker compose up

Example Input

Once connected, an AI assistant can help users interact with Prefect using natural language. Examples:

"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?"

Development

Several of the endpoints have yet to be implemented

Adding New Functions

To add a new function to an existing API:

Add the function to the appropriate module in src/mcp_prefect
Add the function to the get_all_functions() list in the module

To add a new API type:

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

Example usage:

{
  "mcpServers": {
    "mcp-prefect": {
      "command": "mcp-prefect",
      "args": [
        "--transport", "sse"
      ],
      "env": {
        "PYTHONPATH": "/path/to/your/project/directory"
      },
      "cwd": "/path/to/your/project/directory"
    }
  }
}

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that allows AI assistants to interact with Prefect's workflow automation platform through natural language, enabling users to manage flows, deployments, tasks, and other Prefect resources via conversational commands.

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