DolphinScheduler MCP Server

What is DolphinScheduler MCP Server?

DolphinScheduler MCP Server is a FastMCP-based server that exposes Apache DolphinScheduler’s REST API as standardized tools for AI agents. It acts as a bridge between AI models and DolphinScheduler, enabling AI-driven workflow management.

How to use DolphinScheduler MCP Server?

Install the Python package via pip install dolphinscheduler-mcp. Configure it using environment variables (e.g., DOLPHINSCHEDULER_API_URL, DOLPHINSCHEDULER_API_KEY) or command-line arguments. Start the server with the ds-mcp --host 0.0.0.0 --port 8089 command or by calling run_server() from the Python API. AI agents can then connect and invoke tools like get-project-list or create-project.

Key features of DolphinScheduler MCP Server

• Full coverage of DolphinScheduler REST API functionality
• Standardized tool interfaces following the Model Context Protocol
• Easy configuration via environment variables or CLI arguments
• Comprehensive tool documentation
• Tools for project, process, task, scheduling, resource, datasource, alert, worker, tenant, and user management
• System status monitoring support

Use cases of DolphinScheduler MCP Server

• AI agents list and manage DolphinScheduler projects
• AI-driven creation and modification of process definitions
• Automated scheduling and monitoring of workflow instances
• Intelligent resource and datasource management through natural language instructions
• Tenant, user, and alert group administration by AI assistants