DolphinScheduler MCP Server

by ocean-zhc

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About

A Model Context Protocol (MCP) server for Apache Dolphinscheduler. This provides access to your Apache Dolphinshcheduler RESTful API V1 instance and the surrounding ecosystem.

Explore

- 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

pip install dolphinscheduler-mcp

- 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)

```python
from mcp_client import MCPClient

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

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

```python
from dolphinscheduler_mcp.server import run_server

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