dolphin-mcp-pilot

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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.

🎯 Why this project?

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

Related MCP server: production-grade-mcp-agentic-system

🚀 Key features

• 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

🚀 Quick Start

# 1. Clone the repository
git clone https://github.com/iflytek/dolphin-mcp-pilot.git
cd dolphin-mcp-pilot

# 2. Configure environment
cp .env.example .env
# Edit .env — at minimum set DS_URL and DS_TOKEN (or DS_USER/DS_PASSWORD)

# 3. Start the service (dev mode)
docker compose --profile dev up -d dolphin-mcp-pilot-dev

✅ Service will be available at http://localhost:8001/mcp/ (note the trailing slash)

📚 Documentation

✨ What's new

• Guided troubleshooting: ds_list_process_instances attaches a next_action hint to RUNNING/FAILURE instances, pointing agents to ds_list_task_instances to inspect individual task nodes.

• Reliable backfill ordering: serial complement uses the complementStartDate/complementEndDate range format so DolphinScheduler generates instances in strict day-by-day order.

• Flexible task params: ds_update_task_param accepts both snake_case and camelCase field names and reports ignored fields.

🤝 Contributing

Contributions are welcome. See CONTRIBUTING.md for project changes, or follow the example contribution guide to share a tested MCP client configuration.

📄 License

Apache-2.0

🙏 Acknowledgments

Built with FastMCP and inspired by the Apache DolphinScheduler community.