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Claude Army
- javascript
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GitHub Stars
javascript
Language
4 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"robbhimself-1337-claude-army": {
"command": "node",
"args": [
"/path/to/claude-army/src/index.js"
],
"env": {
"CLAUDE_BINARY": "/usr/bin/claude-code"
}
}
}
}ClaudeArmy is an MCP server that lets Claude orchestrate multiple Claude Code agents across different projects. You interact through Claude, directing high-level goals while background agents autonomously execute tasks, enabling parallel work and ongoing progress checks without leaving the chat.
How to use
You use ClaudeArmy by connecting it to your Claude chat client as an MCP server. Once connected, you can instruct Claude to dispatch agents to work on multiple projects, monitor progress, and retrieve outputs. Treat ClaudeArmy as a scalable, autonomous workforce that runs tasks in parallel while you stay in the conversation.
How to install
Prerequisites you need before installing ClaudeArmy:
-
Node.js 18+ is required to run the MCP server. If you do not have Node.js installed, install it from the official source for your platform.
-
Git is used to clone the repository. Ensure it is available in your command line environment.
-
You need a client that can communicate with MCP servers to connect ClaudeArmy.
Install steps you should follow exactly as written here to set up ClaudeArmy locally.
1. Clone this repository
2. npm install
3. Add to your Claude Desktop config (example path shown; adjust to your environment):
```json
"claude-army": {
"command": "node",
"args": ["/path/to/claude-army/src/index.js"]
}
- Restart Claude Desktop
## Available tools
### dispatch\_task
Deploy a Claude Code agent to a project directory and start work on a task.
### check\_tasks
Monitor status of all running and completed agents.
### get\_task\_output
Retrieve an agent's full output and progress details.
### cancel\_task
Stop a running agent gracefully.
### purge\_tasks
Clean up completed or failed tasks from the registry.