Dolphin MCP Pilot

Name: Dolphin MCP Pilot
Author: iflytek

作者：iflytek版本 0.3.1i★ –i在你的电脑上运行

注册名称io.github.iflytek/dolphin-mcp-pilot

安装

概览

作者提供的说明（英文原文）

AI agent interface to Apache DolphinScheduler: 58 MCP tools for workflow orchestration & data ops.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: Streamable HTTP
分类: 其他
你需要填写：DS_URL

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： DS_URL, DS_TOKEN, DS_USER, DS_PASSWORD, DS_TENANT_CODE

你需要

Docker已安装 Docker

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "dolphin-pilot": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DS_URL",
        "-e",
        "DS_TOKEN",
        "-e",
        "DS_USER",
        "-e",
        "DS_PASSWORD",
        "-e",
        "DS_TENANT_CODE",
        "ghcr.io/iflytek/dolphin-mcp-pilot:0.3.1"
      ],
      "env": {
        "DS_URL": "your-value",
        "DS_TOKEN": "your-value",
        "DS_USER": "your-value",
        "DS_PASSWORD": "your-value",
        "DS_TENANT_CODE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add dolphin-pilot --env DS_URL=your-value --env DS_TOKEN=your-value --env DS_USER=your-value --env DS_PASSWORD=your-value --env DS_TENANT_CODE=your-value -- docker run -i --rm -e DS_URL -e DS_TOKEN -e DS_USER -e DS_PASSWORD -e DS_TENANT_CODE ghcr.io/iflytek/dolphin-mcp-pilot:0.3.1

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "dolphin-pilot": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DS_URL",
        "-e",
        "DS_TOKEN",
        "-e",
        "DS_USER",
        "-e",
        "DS_PASSWORD",
        "-e",
        "DS_TENANT_CODE",
        "ghcr.io/iflytek/dolphin-mcp-pilot:0.3.1"
      ],
      "env": {
        "DS_URL": "your-value",
        "DS_TOKEN": "your-value",
        "DS_USER": "your-value",
        "DS_PASSWORD": "your-value",
        "DS_TENANT_CODE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "dolphin-pilot": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DS_URL",
        "-e",
        "DS_TOKEN",
        "-e",
        "DS_USER",
        "-e",
        "DS_PASSWORD",
        "-e",
        "DS_TENANT_CODE",
        "ghcr.io/iflytek/dolphin-mcp-pilot:0.3.1"
      ],
      "env": {
        "DS_URL": "your-value",
        "DS_TOKEN": "your-value",
        "DS_USER": "your-value",
        "DS_PASSWORD": "your-value",
        "DS_TENANT_CODE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

DS_URL 必填 env
DolphinScheduler API base URL (e.g. http://localhost:12345/dolphinscheduler)
DS_TOKEN env
DolphinScheduler API token (leave empty to use DS_USER/DS_PASSWORD instead)
DS_USER env
DolphinScheduler username (alternative to DS_TOKEN)
DS_PASSWORD env
DolphinScheduler password (used with DS_USER)
DS_TENANT_CODE env
Tenant code (default: 'default')

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 iflytek 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32706 个服务器的 0%
发布到注册中心的时间比此分类中其他 32706 个服务器的 31% 更新
基础检查结果等于或优于此分类中其他 32706 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Dolphin MCP Pilot 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：DS_URL

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.3.1）于2个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新

安装

Kanal Varna — drains, leaks & plumbing (Varna, BG)

作者：kanalvarna.com

Drain unblocking, leak detection & plumbing in Varna, Bulgaria: services, prices, areas, contact

在云端运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

dolphin-mcp-pilot

English | 简体中文

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_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.

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

Apache-2.0

🙏 Acknowledgments

Built with the official MCP Python SDK and inspired by the Apache DolphinScheduler community.