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dolphin-mcp-pilot

mcp
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SUMMARY

Production-ready MCP server that lets AI agents build, schedule, run and recover Apache DolphinScheduler data pipelines - 53+ tools, beyond read-only.

README.md

dolphin-mcp-pilot

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

🚀 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

Document Description
📦 Installation Docker Compose (dev/prod), from source, as package, run modes
⚙️ Configuration Environment variables, auth options, Compose tunables
🚀 Deployment Production deployment, Compose reference, verify, troubleshoot
📊 Features Feature comparison table, tool categories
🔐 Client Config MCP client setup (CodeBuddy, Claude Desktop, etc.), multi-tenant auth
📖 API Reference All 53+ tools, parameter conventions, error handling (中文)
❓ FAQ Common issues and solutions (中文)

✨ 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.

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