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DolphinScheduler MCP Server

by ocean-zhc
start_workflow.py2.02 kB
#!/usr/bin/env python3 """Example script to execute a DolphinScheduler process definition using the MCP client.""" import argparse import asyncio import json import os import sys # For local development, add the parent directory to the Python path sys.path.append(".") # Import the MCPClient from simple_client.py from examples.simple_client import MCPClient async def main(): """Execute a DolphinScheduler process definition using MCP.""" parser = argparse.ArgumentParser(description="Execute a DolphinScheduler process definition") parser.add_argument("--project-code", type=int, required=True, help="Project code") parser.add_argument("--process-definition-code", type=int, required=True, help="Process definition code") parser.add_argument("--schedule-time", type=str, help="Schedule time (yyyy-MM-dd HH:mm:ss)") parser.add_argument("--execution-type", type=str, default="PARALLEL", help="Execution type (PARALLEL/SERIAL_WAIT/SERIAL_DISCARD/SERIAL_PRIORITY)") args = parser.parse_args() # Set up the MCP server URL mcp_url = os.environ.get("MCP_URL", "http://localhost:8089/mcp") print(f"Connecting to MCP server at {mcp_url}") async with MCPClient(mcp_url) as client: # Execute process definition print(f"Executing process definition {args.process_definition_code} in project {args.project_code}:") # Prepare parameters parameters = { "project_code": args.project_code, "process_definition_code": args.process_definition_code, "execution_type": args.execution_type, } if args.schedule_time: parameters["schedule_time"] = args.schedule_time # Execute the process definition response = await client.invoke_tool("execute-process-definition", parameters) # Pretty print the result print(json.dumps(response, indent=2)) if __name__ == "__main__": asyncio.run(main())

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