Prefect

Prefect

fortunto2

Connects conversational interfaces to Prefect workflow orchestration platform. Retrieve flow information, manage flow runs, and execute workflows through chat.

Enables interaction with Prefect workflow orchestration platform for retrieving flow information, managing flow runs, searching deployments, and executing workflows directly from conversational interfaces.

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What it does

  • Query flow information and status
  • Manage workflow run executions
  • Search and browse deployments
  • Execute workflows directly
  • Monitor flow run progress
  • Access deployment configurations

Best for

DevOps teams managing data pipelinesData engineers monitoring workflowsDevelopers debugging flow executionsTeams automating workflow operations
Direct workflow execution from chatReal-time flow monitoringWorks with Prefect Cloud and self-hosted

About Prefect

Prefect is a community-built MCP server published by fortunto2 that provides AI assistants with tools and capabilities via the Model Context Protocol. Enable workflow automation and software workflow management with Prefect—run, manage, and search workflows easily via co It is categorized under developer tools.

How to install

You can install Prefect in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Prefect is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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Prefect MCP Server

This repository provides a Prefect MCP server configuration using the prefect-mcp-server package with a reliable running mechanism via uvx. The configuration is tailored for use with the Cursor IDE.

Prefect Server MCP server

Prerequisites

  • Python 3.9 or newer.
  • A preferred virtual environment tool (such as uv) for managing Python environments.
  • Prefect 3 (see Prefect Documentation for installation instructions).

Installation

Create and activate your virtual environment, then install Prefect MCP Server:

uv venv --python 3.12 && source .venv/bin/activate
uv pip install -U prefect-mcp-server

Configuration

The server is configured via the .cursor/mcp.json file. The updated configuration is as follows:

{
  "mcpServers": {
    "prefect": {
      "command": "uvx",
      "args": [
        "prefect-mcp-server"
      ],
      "env": {}
    }
  }
}

This configuration ensures that the server uses the uvx command with the exact package version installed via uv pip install. This approach provides enhanced reliability and consistency in your development environment.

Environment Variables

Set the following environment variables to configure your Prefect environment. You can create a file named .env in the project root with entries such as:

PREFECT_API_URL=http://localhost:4200/api

Additionally, if needed, set other environment variables like PREFECT_API_KEY to authenticate with your Prefect server or Prefect Cloud.

Running the Server

To start the server, you can run the following command:

uv run <script>

Alternatively, if you are using the Cursor IDE with its configuration, the server will be automatically invoked with the command specified in .cursor/mcp.json.

Documentation

Detailed documentation on the Prefect MCP Server functionality and usage is available in the docs/prefect_mcp_documentation.md file. The documentation includes:

  • Complete list of available tools and their parameters
  • Instructions for installation and configuration
  • Examples of usage with different MCP clients
  • Prefect 3.0 compatibility information

Cursor Rules

This repository includes Cursor Rules for working with the Prefect MCP Server, located in the .cursor/rules/ directory. These rules provide contextual help and guidance when working with Prefect MCP in the Cursor IDE.

Additional Information

  • For further details on Prefect installation and usage, please refer to the Prefect Documentation.
  • For information about the Model Context Protocol (MCP), see the MCP Documentation.
  • Use uv run for running scripts within the configured environment as recommended by Cursor.

Happy coding!

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