Prefect Orchestration Abstraction Layer (MCP)

This implementation of the Model Context Protocol (MCP) server furnishes an interface layer to interact with the Prefect workflow management system via natural language directives.

Capabilities Overview

This server exposes the following core functionalities for Prefect interaction:

• Workflow Definition Control: Retrieval, inspection, and removal of defined flows.
• Flow Execution Lifecycle: Initiation of new flow executions, real-time status tracking, and management of ongoing runs.
• Deployment Asset Management: Configuration and manipulation of deployment configurations and their associated scheduling policies.
• Sub-Process Monitoring: Detailed observation and control over individual task executions within a flow run.
• Work Queue Administration: Creation and maintenance routines for managing job queues.
• Secret/Credential Access: Operations related to block types and their stored document content.
• Configuration Variable Handling: Provisioning and modification of system variables.
• Environment Context Retrieval: Fetching metadata pertaining to the active workspace.

Setup Requirements

Configuration necessitates setting the following operational environment parameters:

export PREFECT_API_URL="http://localhost:4200/api"  # Endpoint for the Prefect backend service
export PREFECT_API_KEY="your_api_key"               # Authentication token, especially for Prefect Cloud deployments

Operation

To initiate the MCP server service:

docker compose up

Sample Interactions

Once the service is active, an associated AI agent can process user requests such as:

• "List every defined flow I possess."
• "Report on all flow executions that failed during the previous day."
• "Start a run for the deployment named 'data-processing'."
• "Halt the recurring schedule associated with the 'daily-reporting' deployment."
• "What is the final state of my most recent ETL execution?"

Implementation Notes

Certain API endpoints are designated as future development targets and are not yet fully operational.

Extending Functionality

To integrate a novel function within an existing API domain:

1. Implement the requisite logic within the corresponding Python module located in src/mcp_prefect.
2. Register the new function within the get_all_functions() collection in that module.

To introduce support for an entirely new operational category (API type):

1. Define the new enumeration constant in enums.py within the APIType structure.
2. Develop a dedicated service module within the src/prefect/ directory.
3. Update the primary startup script (main.py) to incorporate the new API enumeration.

Configuration example for service invocation:

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