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DolphinScheduler MCP Server

by ocean-zhc
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Python
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DolphinScheduler MCP Server

A Model Context Protocol (MCP) server for Apache DolphinScheduler, allowing AI agents to interact with DolphinScheduler through a standardized protocol.

Overview

DolphinScheduler MCP provides a FastMCP-based server that exposes DolphinScheduler's REST API as a collection of tools that can be used by AI agents. The server acts as a bridge between AI models and DolphinScheduler, enabling AI-driven workflow management.

Features

  • Full API coverage of DolphinScheduler functionality

  • Standardized tool interfaces following the Model Context Protocol

  • Easy configuration through environment variables or command-line arguments

  • Comprehensive tool documentation

Installation

pip install dolphinscheduler-mcp

Configuration

Environment Variables

  • DOLPHINSCHEDULER_API_URL: URL for the DolphinScheduler API (default: http://localhost:12345/dolphinscheduler)

  • DOLPHINSCHEDULER_API_KEY: API token for authentication with the DolphinScheduler API

  • DOLPHINSCHEDULER_MCP_HOST: Host to bind the MCP server (default: 0.0.0.0)

  • DOLPHINSCHEDULER_MCP_PORT: Port to bind the MCP server (default: 8089)

  • DOLPHINSCHEDULER_MCP_LOG_LEVEL: Logging level (default: INFO)

Usage

Command Line

Start the server using the command-line interface:

ds-mcp --host 0.0.0.0 --port 8089

Python API

from dolphinscheduler_mcp.server import run_server # Start the server run_server(host="0.0.0.0", port=8089)

Available Tools

The DolphinScheduler MCP Server provides tools for:

  • Project Management

  • Process Definition Management

  • Process Instance Management

  • Task Definition Management

  • Scheduling Management

  • Resource Management

  • Data Source Management

  • Alert Group Management

  • Alert Plugin Management

  • Worker Group Management

  • Tenant Management

  • User Management

  • System Status Monitoring

Example Client Usage

from mcp_client import MCPClient # Connect to the MCP server client = MCPClient("http://localhost:8089/mcp") # Get a list of projects response = await client.invoke_tool("get-project-list") # Create a new project response = await client.invoke_tool( "create-project", {"name": "My AI Project", "description": "Project created by AI"} )

License

Apache License 2.0

This server cannot be installed

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security - not tested
F
license - not found
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quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server that allows AI agents to interact with Apache DolphinScheduler through a standardized protocol, enabling AI-driven workflow management.

  1. Overview
    1. Features
      1. Installation
        1. Configuration
          1. Environment Variables
        2. Usage
          1. Command Line
          2. Python API
        3. Available Tools
          1. Example Client Usage
            1. License

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