dolphin-mcp-pilot
MCP serverProductivityAI agent interface to Apache DolphinScheduler: 58 MCP tools for workflow orchestration & data ops.
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From the project's README
As published by iflytek/dolphin-mcp-pilot in README.md.
A production-ready MCP server for Apache DolphinScheduler (小海豚).
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
- MCP 2.0 stateless HTTP with automatic compatibility for MCP 1.x clients
- 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
Prerequisites
- A running DolphinScheduler 3.x instance whose API is reachable from Docker
- Docker with Compose v2 (
docker compose version) - A DolphinScheduler API token (recommended), or a username and password
# 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 — set DS_URL and DS_TOKEN (or DS_USER/DS_PASSWORD)
# Example DS_URL: http://your-dolphinscheduler-host:12345/dolphinscheduler
# 3. Build and start the service from this checkout
docker compose --profile dev up -d dolphin-mcp-pilot-dev
# 4. Confirm that the container is healthy
docker compose --profile dev ps
The MCP endpoint is now http://localhost:8001/mcp/ (the trailing slash is required).
Add it to an HTTP/SSE-capable MCP client:
{
"mcpServers": {
"dolphinscheduler": {
"type": "sse",
"url": "http://localhost:8001/mcp/",
"headers": { "X-DS-Token": "your_api_token" }
}
}
}
As a safe first check, ask your agent: “List my DolphinScheduler projects and workflows. Do not make any changes.” For client-specific configuration and username/password auth, see Client Config.
💡 Common use cases
| Scenario | Example request | Main tools |
|---|---|---|
| Investigate a failed run | “Find the latest failed workflow, show the failed task and its log, and suggest the next action without changing anything.” | ds_list_process_instances, ds_list_task_instances, ds_get_latest_failure_log |
| Backfill missing data | “Backfill 2026-08-01 through 2026-08-07 serially, starting from the validation task and including downstream tasks.” | ds_complement_data |
| Create and schedule a workflow | “Create a daily SQL workflow, add its cron schedule, and show me the definition before putting it online.” | ds_create_workflow, ds_set_schedule, ds_online_schedule |
| Give multiple agents controlled access | Run one HTTP MCP service while each caller supplies its own DolphinScheduler credentials. | Per-request X-DS-* headers |
The tools can also pause, resume, rerun, clone, and roll back workflows; manage resources; and
fall back to raw DolphinScheduler APIs for uncovered operations. Start with ds_help(category="quickstart")
inside your MCP client to discover the recommended workflow for each task.
📚 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
- MCP 2.0: supports the stateless 2026-07-28 protocol while keeping legacy handshake clients and stdio configurations working.
- Guided troubleshooting:
ds_list_process_instancesattaches anext_actionhint to RUNNING/FAILURE instances, pointing agents tods_list_task_instancesto inspect individual task nodes. - Reliable backfill ordering: serial complement uses the
complementStartDate/complementEndDaterange format so DolphinScheduler generates instances in strict day-by-day order. - Flexible task params:
ds_update_task_paramaccepts bothsnake_caseandcamelCasefield 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.
Used dolphin-mcp-pilot for something real? Write it up in cases/ — a gallery of
community usage stories (agent-driven DolphinScheduler ops), each linked to a public post.
📄 License
🙏 Acknowledgments
Built with the official MCP Python SDK and inspired by the Apache DolphinScheduler community.
Signals
- GitHub stars
- 16
- Forks
- 15
- Last commit
- Sep 2026
Advanced
- Delivery
- dolphin-mcp-pilot MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-iflytek-dolphin-mcp-pilot- Source
- github.com/iflytek/dolphin-mcp-pilot