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PopNx MCPMCP servers for people who use AI · explained in plain words

Conductor

by jarmstrong158version 4.0.0i★ –iRuns on your computer
Registry nameio.github.jarmstrong158/Conductor

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work
  • You need to fill in: GMAIL_APP_PASSWORD

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GMAIL_USER, GMAIL_APP_PASSWORD

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account jarmstrong158, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2197 servers in this category
  • Published to the registry more recently than 23% of the other 2197 servers in this category
  • Basic checks equal to or better than 100% of the other 2197 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Conductor safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GMAIL_APP_PASSWORD

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (4.0.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs in the cloud★ 7,620MITUpdated 2 months ago
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Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
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Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 4 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

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