mcp-prefect-orchestrator
Facilitates natural language interaction with the Prefect workflow orchestration platform for managing pipelines, scheduling definitions, and atomic operations. Enables streamlined environmental oversight and control to enhance the efficacy of automated workflows.
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allen-munsch
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Prefect Orchestration Interface (MCP Server)
This implementation of the Model Context Protocol (MCP) server is engineered to provide seamless, vernacular interaction with the Prefect system, enabling intelligent agents to issue commands regarding workflow assets.
Core Capabilities
This server exposes control over the following Prefect subsystems via abstraction layers:
- Workflow Blueprint Oversight: Retrieval, inspection, and decommissioning of defined workflows (Flows).
- Workflow Instance Control: Initiation, status monitoring, and termination/resumption of execution instances (Flow Runs).
- Schedule Definition Management: Configuration and maintenance of deployment schedules.
- Execution Step Tracking: Monitoring and governance of individual operational units (Task Runs).
- Workload Distribution Queues: Administration of intake channels for pending tasks (Work Queues).
- Configuration Artifact Access: Interfacing with stored credentials and settings (Blocks).
- Global Parameterization: Management of environment-wide configurable values (Variables).
- Contextual Environment Details: Querying organizational scope metadata (Workspaces).
Setup Prerequisites
The operational environment requires setting the following environment parameters:
bash export PREFECT_API_URL="http://localhost:4200/api" # Endpoint address for the Prefect API service export PREFECT_API_KEY="your_api_key" # Authentication token, mandatory for cloud deployments
Deployment Procedure
To launch the MCP interface service:
bash docker compose up
Illustrative Conversational Inputs
Once the connection is established, assistants can interpret user intent mapped to Prefect operations. Examples include:
- "Display every registered workflow."
- "Enumerate all flow executions that failed within the last twenty-four hours."
- "Initiate the run sequence associated with the 'data-processing' deployment specification."
- "Temporarily suspend the ongoing temporal execution plan for the 'daily-reporting' artifact."
- "Report the final state of the most recent ETL flow instance."
Development Roadmap & Extension Guide
Certain backend functionalities remain under active development.
Integrating Novel Operations
To introduce a new capability within an existing API domain:
- Implement the requisite logic within the corresponding file located in
src/mcp_prefect. - Register the newly created function within the aggregate list returned by
get_all_functions()in that module.
To onboard an entirely new operational domain (API type):
- Define the new domain constant in
APITypewithinenums.py. - Establish a dedicated module within the
src/prefect/directory structure. - Update the bootstrap logic in
main.pyto incorporate the new API domain enumeration.
Execution Manifest Example
This configuration snippet demonstrates how the orchestrator service might be invoked within a larger system context:
{ "mcpServers": { "mcp-prefect-orchestrator": { "command": "mcp-prefect", "args": [ "--transport", "sse" ], "env": { "PYTHONPATH": "/path/to/your/project/directory" }, "cwd": "/path/to/your/project/directory" } } }
