About Dolphinscheduler MCP
Dolphinscheduler MCP is an MCP server published by ocean-zhc in the Developer Tools category: a Model Context Protocol (MCP) server for Apache Dolphinscheduler. This provides access to your Apache Dolphinshcheduler RESTful API V1 instance and the surrounding ecosystem. It has been installed 0 times through Conduid.
The repository has 19 stars and 10 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx dolphinscheduler-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
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 APIDOLPHINSCHEDULER_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
README mirrored from the source repository 4 months ago. The original is authoritative.