ClaudeArmy
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ClaudeArmyRefactor GarbageFire to be more modular, and add a Salesforce adapter to my Reporting Tool"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🪖 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.
Related MCP server: session-coord-mcp
Tools
Tool | Description |
| Deploy a Claude Code agent to a project directory. Supports |
| Monitor status of all running/completed agents |
| Retrieve what an agent did and its full output |
| Detailed view of a lead agent and all its sub-agents |
| Stop a running agent gracefully |
| Clean up completed/failed tasks |
Setup
Clone this repo
npm installAdd to your Claude Desktop config:
Linux:
~/.config/Claude/claude_desktop_config.jsonmacOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%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").
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
TasktoolSub-agents work in parallel, each with a well-defined scope
The lead agent synthesizes results once all sub-agents complete
Monitoring teams:
check_tasksshows a sub-agent summary (e.g. "3 sub-agents: 1 running, 2 completed")get_agent_teamgives 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 binaryMAX_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/sdkto ^1.26.0, resolving 3 high severity supply chain vulnerabilitiesAdd
repositoryfield to package.json
v0.4.0
Agent team support: track sub-agents spawned via Claude Code Task tool
New
get_agent_teamtool: tree view of lead + all sub-agentscheck_tasksnow shows sub-agent summary for team operationsdispatch_taskgainsmodeparameter:solo(default) orteamCross-platform: fixed Windows binary (
claude.cmd) and signal handlingError 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_tasksnow shows time since last agent activityBetter error surfacing: actionable messages for CLI not found, permission denied, and mid-run failures
Fixed output duplication in
get_task_outputDemo GIF added to README
v0.2.0
Real-time progress tracking via Claude Code's stream-json output
check_tasksnow shows recent agent activity (file reads, edits, bash commands) instead of just runtimeget_task_outputincludes a full progress timeline with timestampsStructured 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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