原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Conductor

作者:jarmstrong158版本 4.0.0i★ –i在你的电脑上运行
注册名称io.github.jarmstrong158/Conductor

安装

概览

作者提供的说明(英文原文)

Local task scheduler and worker manager with MCP integration for Claude Desktop.

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。

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: stdio
  • 分类: 文档、表格与办公
  • 你需要填写:GMAIL_APP_PASSWORD

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: GMAIL_USER, GMAIL_APP_PASSWORD

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

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": {
    "conductor": {
      "command": "uvx",
      "args": [
        "conductor-mcpserver"
      ],
      "env": {
        "GMAIL_USER": "your-value",
        "GMAIL_APP_PASSWORD": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add conductor --env GMAIL_USER=your-value --env GMAIL_APP_PASSWORD=your-value -- uvx conductor-mcpserver

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": {
    "conductor": {
      "command": "uvx",
      "args": [
        "conductor-mcpserver"
      ],
      "env": {
        "GMAIL_USER": "your-value",
        "GMAIL_APP_PASSWORD": "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": {
    "conductor": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "conductor-mcpserver"
      ],
      "env": {
        "GMAIL_USER": "your-value",
        "GMAIL_APP_PASSWORD": "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

  • GMAIL_USER env
    Gmail address for sending email notifications
  • GMAIL_APP_PASSWORD 机密 env
    Gmail App Password for sending email notifications

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 jarmstrong158 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“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 2197 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2197 个服务器的 23% 更新
  • 基础检查结果等于或优于此分类中其他 2197 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

Conductor 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:GMAIL_APP_PASSWORD

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(4.0.0)于3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 Python (uv)。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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

Agent-Native Calendar

作者:BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

在云端运行★ 7,620MIT2个月前更新
安装

Excel MCP Server

作者:haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

在你的电脑上运行★ 4,276MIT6天前更新
安装

MCP Server for Excel

作者:sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

在你的电脑上运行★ 847MIT4天前更新
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。

Conductor

Claude's hands for local automation — with a web dashboard for the humans who watch it.

Conductor gives Claude direct, persistent control of a local task runner. Tell Claude what you want automated; it creates the scheduled workers, builds multi-step pipelines, wires up email reports, fires test runs, and reads back the logs when something fails — all through conversation. A web dashboard at 127.0.0.1:5000 runs alongside it for humans who want to peek at status, click pause, or hand-edit a worker.

Originally built to automate warehouse reporting workflows (the daily ShipExec metrics pull) and now general-purpose: any Python / batch / shell script, any schedule, any chain.

The MCP server lives in this repo (server.py) — the thin layer that exposes Conductor's REST API as Claude tools. It's bundled and auto-registered on install, so most users won't need to touch it directly. The separate conductor-mcp repo is deprecated — it holds an older copy without the auto-launch race protection.

Claude Integration

Conductor registers itself as an MCP server in Claude Desktop on first launch. After restarting Claude Desktop once, Claude has 21 tools for full control:

Example conversation:

You: Run my metrics script every night at 8:30 PM and email me the report

Claude: I'll set that up using the Run + Email template.

*(creates the worker, configures the schedule, wires up Gmail, fires it to test)*

Done — worker "Daily Metrics Report" is live. Check your email for the test run.

You: That uptime check keeps failing. What's going on?

Claude: *(pulls the last 10 runs, reads the error logs)*

The site returned a 503 three times in the last hour. The SSL certificate expired yesterday. Here's the full error from the last run...

You: Chain my backup script and cleanup script together. Run backup first, then cleanup after it finishes. Every day at 2 AM.

Claude: *(creates a chain with stage 0 = backup, stage 1 = cleanup, cron schedule "0 2 * * *")*

Chain "Nightly Maintenance" created with 2 steps. Backup runs first, cleanup runs after it succeeds.

How it works:

  1. Install Conductor (Windows installer or from source)
  2. Conductor writes its MCP entry to Claude Desktop's config on first launch
  3. Restart Claude Desktop once
  4. Claude now controls Conductor through natural language — create workers, build chains, fire tasks, check logs, send emails

Features

  • Claude-Controlled — 21 MCP tools let Claude create workers, chains, groups, templates, and more. Non-technical users can automate anything through conversation.
  • Flexible Scheduling — Fixed times (09:00, 14:30), intervals (2h 30m), or cron expressions (0 9 * * 1-5 with plain-English preview).
  • Task Support — Python (.py), batch (.bat, .cmd), and shell (.sh) scripts. Selenium and GUI scripts run in a visible terminal window via new_console.
  • Built-in Email — configure Gmail once, then any template or worker can send emails. Run + Email template for automated reports. Folder Watcher emails files on arrival. Uptime Check sends DOWN alerts. Worker notifications on success/failure.
  • Task Chains — multi-step pipelines with parallel execution. Same stage number = run in parallel. Stop-on-failure toggle.
  • Worker Groups — collapsible named groups for organization. Bulk pause/delete per group.
  • Run History — per-worker/chain history with status, duration, and error details. Colored dots show last run status at a glance.
  • Built-in Templates — Folder Backup, File Cleanup, Folder Watcher, Uptime Check, Open URL, Run + Email. Generated scripts are stdlib-only and self-contained.
  • Per-worker Environment Variables — inject KEY=VALUE pairs into subprocess environments.
  • Worker Timeout — kill and log workers that run over a set number of minutes.
  • Email Notifications — per-worker/chain email alerts: Always, On Failure, or On Success.
  • Import / Export — portable JSON snapshot of all workers, chains, and groups.
  • Saved Profiles — save and load named worker configurations.
  • Auto-start on Login — one-click Registry Run key install. No admin required.
  • Auto-update Check — modal dialog when a newer release is available.
  • System Tray Icon — right-click for Open Dashboard or Stop.
  • AI Error Analysis — send error logs to Claude for diagnosis directly in the dashboard.
  • Persistent State — SQLite database. Workers and chains restore on restart.
Add Workers Form
Built-in Templates
Task Chains
Debug Log

Installation (Windows)

Download and run `Conductor_Setup.exe` from the latest release.

  • Requires Python 3 on the machine (see note below) — Conductor runs your .py workers with it
  • Installs to %AppData%\Conductor — no admin/UAC required
  • Adds Start Menu shortcut and optional desktop shortcut
  • Optional auto-start at login
  • Uninstaller included

Python is required for Python workers. Conductor itself ships as a self-contained

executable, but it runs your .py scripts with a real interpreter found on your system

(the py launcher, PATH, or the Windows registry). If none is found, workers fail

loudly with instructions — they are never reported as successful.

Set CONDUCTOR_PYTHON to a full path to pin a specific interpreter.

.bat / .cmd / .sh workers do not need Python.

Setup from Source

Requirements
  • Python 3.10+
git clone https://github.com/jarmstrong158/conductor.git

cd conductor pip install -r requirements.txt python launch.py

The dashboard opens at http://127.0.0.1:5000. Press Ctrl+C to stop.

Building the Installer

.\build.bat

Forces a full rebuild:

.\build.bat --rebuild

Output: Output\Conductor_Setup.exe. Requires Inno Setup.

Task File Format

Python (.py)

Scripts run as subprocesses:

if __name__ == "__main__":

print("Task executed!")

Batch / Shell (.bat, .sh, .cmd)

Executed as subprocesses. The worker's output directory (if set) is used as the working directory.

Schedule Formats

TypeFormatExample
FixedHH:MM or HH:MM,HH:MM09:00, 14:30, 17:00
IntervalXh Ym2h 30m, 1h, 45m
Cron5-field crontab0 9 * * 1-5 (weekdays at 9am)

Task Chains

Chains run multiple scripts in sequence. Each step has a stage number — steps with the same stage run in parallel, stages execute in order. Stop on failure halts the chain when any step fails.

Stage 0: backup.py  ──┐

Stage 0: cleanup.py ──┤ (both run at once) ↓ Stage 1: report.py (runs after both finish)

Templates

TemplateWhat it doesEmail capability
Folder BackupCopy folder, keep N backupsSummary email
File CleanupDelete old files by patternSummary email
Folder WatcherMove/email files by extensionPer-rule: move, email, or both
Uptime CheckMonitor URL, log statusAlert email on DOWN
Open URLOpen URL in browser—
Run + EmailRun script, email output fileSends output as attachment

All generated scripts use Python stdlib only.

Architecture

conductor/

├── launch.py # Entry point — Flask, browser, tray, MCP registration ├── app.py # Flask backend + APScheduler + SQLite ├── server.py # MCP server for Claude Desktop ├── CLAUDE.md # Context file for Claude Code / Desktop ├── static/ │ └── index.html # Frontend — HTML + CSS + JS (no frameworks) ├── tasks/ │ └── example_task.py ├── templates/ │ └── generated/ # Auto-generated template scripts ├── build.bat # One-click installer build ├── build_icon.py # Generates conductor.ico ├── conductor.spec # PyInstaller spec ├── installer.iss # Inno Setup script └── conductor.db # SQLite database (auto-created)

LayerTechnology
BackendPython 3, Flask
SchedulingAPScheduler (BackgroundScheduler + MemoryJobStore)
PersistenceSQLite (WAL mode)
FrontendVanilla JS, single HTML file
AI IntegrationClaude via MCP (21 tools) + Anthropic API (error analysis)

AI Error Analysis

The debug log includes an Analyze Errors button. When ERROR entries are present, click it to send them to Claude for diagnosis. Requires an Anthropic API key in .env:

ANTHROPIC_API_KEY=sk-ant-...

Example — before / after:

Raw error in the debug log:

[ERROR] worker "Daily Metrics Report" exit code 1

Traceback (most recent call last): File "C:\scripts\metrics.py", line 142, in driver.find_element(By.ID, "report-table").click() File ".../selenium/.../webdriver.py", line 830, in find_element raise NoSuchElementException(message) selenium.common.exceptions.NoSuchElementException: Message: no such element: Unable to locate element: {"method":"css selector","selector":"[id="report-table"]"}

Claude's diagnosis (one click later):

The script is failing on a find_element call before the page has finished loading — Selenium is racing the DOM. The element #report-table is rendered after an XHR completes. Two fixes, in order of preference:

1. Wrap the lookup in a WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, "report-table"))) so it polls until the element exists.

2. If you don't want to import the wait helpers, a time.sleep(2) before the click will work but is brittle.

The traceback shows this happened on the first run after a ShipExec UI change yesterday — they may have also renamed the element. Verify the ID is still report-table in DevTools before adding the wait.

Email Setup

Click 📧 Email in the header to configure Gmail credentials. Requires a Gmail App Password (2-Step Verification must be enabled first). Credentials are stored locally in .env and never transmitted except to Gmail's SMTP server.

Once configured, all templates and worker notifications can send email.

API

MethodPathPurpose
GET/api/workersList all workers
POST/api/workersRegister worker(s)
PUT/api/workers/ Update worker
POST/api/workers/ /pauseToggle pause/resume
POST/api/workers/ /run-nowFire immediately
GET/api/workers/ /historyRun history
POST/api/workers/ /assign-groupAssign to group
DELETE/api/workers/ Delete worker
POST/api/workers/pause-allPause all workers
DELETE/api/workers/allDelete all workers
GET/api/chainsList all chains
POST/api/chainsCreate chain
PUT/api/chains/ Update chain
POST/api/chains/ /pauseToggle pause/resume
POST/api/chains/ /run-nowFire immediately
GET/api/chains/ /historyRun history
DELETE/api/chains/ Delete chain

| `G

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx