MCP ServerSTDIOOfficialv0.3.1

Robbhimself 1337 Claude Army MCP Server

Orchestrate multiple Claude Code agents in parallel to tackle complex tasks faster. For developers who need to distribute work across concurrent AI agents without managing each one individually.

io.github.robbhimself-1337/claude-army

Hosted URL

Local install

Transport

STDIO

Auth

No auth required

What the Robbhimself 1337 Claude Army MCP server does

How models use it and what it is built for.

Orchestrate multiple Claude Code agents in parallel to tackle complex tasks faster. For developers who need to distribute work across concurrent AI agents without managing each one individually.

Connect to Robbhimself 1337 Claude Army

Local install — runs as a subprocess.

npx claude-army@0.3.1

Resources

Where to find authoritative docs and source for Robbhimself 1337 Claude Army.

Example prompts for Robbhimself 1337 Claude Army

Paste any of these into Agent Studio after connecting Robbhimself 1337 Claude Army.

  • Spin up 3 agents to refactor different modules of my codebase in parallel
  • Have 5 agents test different API endpoints simultaneously and report results
  • Deploy 4 agents to analyze separate log files and summarize findings
  • What's the maximum number of parallel agents I can run at once?

Robbhimself 1337 Claude Army MCP server — FAQ

Common questions about connecting and running Robbhimself 1337 Claude Army.

  • What does claude-army actually do?

    It lets you spawn and coordinate multiple Claude Code agents in parallel from a single chat session. Instead of running agents sequentially, you can distribute tasks across many agents working at the same time.

  • How do I install and get started?

    Run `npx claude-army@0.3.1` to install. It uses stdio transport, so it integrates directly with Claude as an MCP server. Check the project repository for configuration details.

  • Can I control how many agents run at once?

    The server orchestrates parallel agents, but specific concurrency limits and configuration options are documented in the project repository. Start with the install command and refer to the docs for tuning.

  • What's the difference between this and running agents one at a time?

    claude-army runs multiple agents concurrently, so tasks complete faster. Sequential execution would take N times longer if you ran N tasks one after another.

  • Is there a cost or rate limit?

    Costs depend on your Claude API usage—more parallel agents means more concurrent API calls. Check Anthropic's pricing and rate limits, and the project docs for any server-specific constraints.

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