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Claude Army

by robbhimself-1337version 0.3.1i★ –iRuns on your computer
Registry nameio.github.robbhimself-1337/claude-army

Install

Overview

Description from the maker (original English)

Orchestrate multiple Claude Code agents in parallel from chat

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: Chat & email

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx 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": {
    "claude-army": {
      "command": "npx",
      "args": [
        "-y",
        "claude-army"
      ]
    }
  }
}

Run this in your terminal

claude mcp add claude-army -- npx -y claude-army

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "claude-army": {
      "command": "npx",
      "args": [
        "-y",
        "claude-army"
      ]
    }
  }
}

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": {
    "claude-army": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "claude-army"
      ]
    }
  }
}

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.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account robbhimself-1337, 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 Chat & emaili

  • More stars than 0% of the other 1838 servers in this category
  • Published to the registry more recently than 2% of the other 1838 servers in this category
  • Basic checks equal to or better than 100% of the other 1838 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 Claude Army 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.3.1) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Vexa

by Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

Runs in the cloud★ 2,949Apache-2.0Updated 2 months ago
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emailmd

by anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

Computer or cloud★ 1,385MITUpdated 32 days ago
Install

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

Runs on your computer★ 277MITUpdated 5 months ago
Install

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.

🪖 ClaudeArmy

An MCP server that lets Claude orchestrate multiple Claude Code agents working autonomously across different projects.

What It Does

ClaudeArmy gives Claude (in the chat interface) the ability to spawn background Claude Code processes that work independently on coding tasks. Think of it as a chain of command:

  • You → give strategic direction
  • Claude (chat) → breaks it down and dispatches agents
  • Claude Code agents → execute autonomously, spawning their own sub-agents as needed

This means you can kick off work across multiple projects simultaneously, keep chatting normally, and check in on progress whenever you want.

Tools

ToolDescription
dispatch_taskDeploy a Claude Code agent to a project directory. Supports mode: "team" for multi-agent coordination
check_tasksMonitor status of all running/completed agents
get_task_outputRetrieve what an agent did and its full output
get_agent_teamDetailed view of a lead agent and all its sub-agents
cancel_taskStop a running agent gracefully
purge_tasksClean up completed/failed tasks

Setup

  1. Clone this repo
  2. npm install
  3. Add to your Claude Desktop config:
  • Linux: ~/.config/Claude/claude_desktop_config.json
  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
"claude-army": {

"command": "node", "args": ["/path/to/claude-army/src/index.js"] }

Windows note: Use forward slashes in the path value (e.g. "C:/Users/you/claude-army/src/index.js").

  1. Restart Claude Desktop

Usage Examples

Single project task:

"Refactor GarbageFire's app.py into modular components"

Multi-project parallel work:

"Refactor GarbageFire to be more modular, and add a Salesforce adapter to my Reporting Tool"

Claude will dispatch separate agents to each project directory and let them work autonomously.

Check progress:

"How are the agents doing?"

Agent Teams

Use mode: "team" on dispatch_task to have the lead agent automatically decompose work and spawn specialized sub-agents that run in parallel.

How it works:

  • The lead agent analyzes the task and breaks it into focused subtasks
  • Each subtask is delegated to a sub-agent via Claude Code's Task tool
  • Sub-agents work in parallel, each with a well-defined scope
  • The lead agent synthesizes results once all sub-agents complete

Monitoring teams:

  • check_tasks shows a sub-agent summary (e.g. "3 sub-agents: 1 running, 2 completed")
  • get_agent_team gives a detailed tree view of the lead agent and every sub-agent, including status, runtime, and output previews

Configuration

Edit the constants at the top of src/index.js:

  • CLAUDE_BINARY - Path to your Claude Code binary
  • MAX_CONCURRENT_TASKS - Max simultaneous agents (default: 5)

Requirements

  • Claude Code installed and authenticated
  • Node.js 18+
  • Claude Desktop or any MCP-compatible client

Changelog

v0.4.1
  • Bump @modelcontextprotocol/sdk to ^1.26.0, resolving 3 high severity supply chain vulnerabilities
  • Add repository field to package.json
v0.4.0
  • Agent team support: track sub-agents spawned via Claude Code Task tool
  • New get_agent_team tool: tree view of lead + all sub-agents
  • check_tasks now shows sub-agent summary for team operations
  • dispatch_task gains mode parameter: solo (default) or team
  • Cross-platform: fixed Windows binary (claude.cmd) and signal handling
  • Error messages now show platform-appropriate diagnostic commands
  • README: added setup paths for Linux, macOS, and Windows
v0.3.0
  • Fixed stream-json parsing to correctly handle assistant message content arrays
  • Staleness indicator: check_tasks now shows time since last agent activity
  • Better error surfacing: actionable messages for CLI not found, permission denied, and mid-run failures
  • Fixed output duplication in get_task_output
  • Demo GIF added to README
v0.2.0
  • Real-time progress tracking via Claude Code's stream-json output
  • check_tasks now shows recent agent activity (file reads, edits, bash commands) instead of just runtime
  • get_task_output includes a full progress timeline with timestamps
  • Structured event parsing for tool use, assistant messages, and results
v0.1.0
  • Initial release
  • Core tools: dispatch_task, check_tasks, get_task_output, cancel_task, purge_tasks
  • Fire-and-forget architecture with background process management
  • Max 5 concurrent agents
  • stdio transport for MCP communication

License

MIT

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