Production-ready MCP server that lets AI agents build, schedule, run and recover Apache DolphinScheduler data pipelines - 53+ tools, beyond read-only.
A production-ready MCP server for Apache DolphinScheduler.
dolphin-mcp-pilot exposes 53+ tools for projects, workflows, DAG creation, schedules, instances, resources, logs, monitoring and raw API passthrough — designed for AI agents that need to operate DolphinScheduler beyond basic read-only usage.
Most public DolphinScheduler MCP servers only cover basic read/list/start/stop scenarios. This project is designed for real operations work:
- ✅ Create SQL / DAG workflows in one line - ✅ Manage schedules (create / online / offline / delete) - ✅ Control process instances (pause / resume / rerun / rerun-from-failure) - ✅ View task logs, force task success / skip failed task - ✅ Manage resources (view/update content) - ✅ Roll back workflow versions, clone workflows - ✅ Use raw API as a safety valve - ✅ Support multi-tenant per-request auth
- 53+ tools covering most practical DS operations - Two auth modes: API Token (X-DS-Token) or User/Password (X-DS-User + X-DS-Password) - Multi-tenant HTTP mode: each caller can use its own credentials - Workflow creation: simple SQL and complex DAG workflows with multiple task types - Schedule management (cron-based) - Instance lifecycle control (pause/resume/rerun/rerun-from-failure/delete) - Resource content management and version rollback / workflow clone - Raw API passthrough for uncovered edge cases
✅ Service will be available at http://localhost:8001/mcp/ (note the trailing slash)
From the project README.
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