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  3. Claude Octopus
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Claude Octopus

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Spawn multiple specialized Claude Code agents as MCP servers, each independently configured.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "claude-octopus": {
      "command": "npx",
      "args": [
        "-y",
        "claude-octopus"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Claude Octopus

Claude Octopus

One brain, many arms.

An MCP server that wraps the Claude Agent SDK, letting you run multiple specialized Claude Code agents β€” each with its own model, tools, system prompt, and personality β€” from any MCP client.

Why

Claude Code is powerful. But one instance does everything the same way. Sometimes you want a strict code reviewer that only reads files. A test writer that defaults to TDD. A cheap quick helper on Haiku. A deep thinker on Opus.

Claude Octopus lets you spin up as many of these as you need. Same binary, different configurations. Each one shows up as a separate tool in your MCP client.

Prerequisites

  • Node.js >= 18
  • Claude Code β€” the Claude Agent SDK is bundled as a dependency, but it spawns Claude Code under the hood, so you need a working claude CLI installation
  • Anthropic API key (ANTHROPIC_API_KEY env var) or an active Claude Code OAuth session

Install

Three paths, pick whichever matches your MCP client.

npm (most direct)

Terminal
npm install claude-octopus

npx (no install needed)

Skip the install entirely β€” reference claude-octopus@latest in your .mcp.json and the client will fetch on demand (see Quick Start below).

MCP Registry

The server is published to the MCP Registry under the name io.github.xiaolai/claude-octopus. Registry-aware MCP clients can resolve and install it by that name without touching npm directly.

Quick Start

The fastest way to get started:

Terminal
npx claude-octopus init

This interactive wizard lets you pick a template, detects your MCP client, and writes the config for you.

Or add to your .mcp.json manually:

config.json
{
  "mcpServers": {
    "claude": {
      "command": "npx",
      "args": ["claude-octopus@latest"],
      "env": {
        "CLAUDE_PERMISSION_MODE": "bypassPermissions"
      }
    }
  }
}

This gives you six tools:

ToolPurpose
claude_codeSend a task, get a result
claude_code_replyContinue a conversation
claude_code_timelineQuery the workflow timeline
claude_code_transcriptRead full session transcripts
claude_code_sessionsList Claude Code session history (this project, or all)
claude_code_reportGenerate HTML reports

That's it β€” you have Claude Code as a tool, with full workflow observability built in.

Multiple Agents

The real power is running several instances with different configurations:

config.json
{
  "mcpServers": {
    "code-reviewer": {
      "command": "npx",
      "args": ["claude-octopus@latest"],
      "env": {
        "CLAUDE_TOOL_NAME": "code_reviewer",
        "CLAUDE_SERVER_NAME": "code-reviewer",
        "CLAUDE_DESCRIPTION": "Strict code reviewer. Finds bugs and security issues. Read-only.",
        "CLAUDE_MODEL": "opus",
        "CLAUDE_ALLOWED_TOOLS": "Read,Grep,Glob",
        "CLAUDE_APPEND_PROMPT": "You are a strict code reviewer. Report real bugs, not style preferences.",
        "CLAUDE_EFFORT": "high"
      }
    },
    "test-writer": {
      "command": "npx",
      "args": ["claude-octopus@latest"],
      "env": {
        "CLAUDE_TOOL_NAME": "test_writer",
        "CLAUDE_SERVER_NAME": "test-writer",
        "CLAUDE_DESCRIPTION": "Writes thorough tests with edge case coverage.",
        "CLAUDE_MODEL": "sonnet",
        "CLAUDE_APPEND_PROMPT": "Write tests first. Cover edge cases. TDD."
      }
    },
    "quick-qa": {
      "command": "npx",
      "args": ["claude-octopus@latest"],
      "env": {
        "CLAUDE_TOOL_NAME": "quick_qa",
        "CLAUDE_SERVER_NAME": "quick-qa",
        "CLAUDE_DESCRIPTION": "Fast answers to quick coding questions.",
        "CLAUDE_MODEL": "haiku",
        "CLAUDE_MAX_BUDGET_USD": "0.02",
        "CLAUDE_EFFORT": "low"
      }
    }
  }
}

Your MCP client now sees distinct tools for each agent β€” code_reviewer, test_writer, quick_qa β€” each purpose-built.

Multi-Agent Orchestration

Agents can coordinate through a coordinator pattern: one agent has the others as inner MCP tools via CLAUDE_MCP_SERVERS, and its system prompt drives the pipeline.

config.json
{
  "mcpServers": {
    "publishing-house": {
      "command": "npx",
      "args": ["claude-octopus@latest"],
      "env": {
        "CLAUDE_TOOL_NAME": "publishing_house",
        "CLAUDE_SERVER_NAME": "publishing-house",
        "CLAUDE_MODEL": "opus",
        "CLAUDE_PERMISSION_MODE": "bypassPermissions",
        "CLAUDE_APPEND_PROMPT": "You are a publishing house coordinator. Dispatch tasks to your specialist agents and drive the pipeline to completion.",
        "CLAUDE_MCP_SERVERS": "{\"researcher\":{\"command\":\"npx\",\"args\":[\"claude-octopus@latest\"],\"env\":{\"CLAUDE_TOOL_NAME\":\"researcher\",\"CLAUDE_SERVER_NAME\":\"researcher\",\"CLAUDE_MODEL\":\"sonnet\",\"CLAUDE_PERMISSION_MODE\":\"bypassPermissions\"}},\"architect\":{\"command\":\"npx\",\"args\":[\"claude-octopus@latest\"],\"env\":{\"CLAUDE_TOOL_NAME\":\"architect\",\"CLAUDE_SERVER_NAME\":\"architect\",\"CLAUDE_MODEL\":\"opus\",\"CLAUDE_PERMISSION_MODE\":\"bypassPermissions\"}}}"
      }
    }
  }
}

The coordinator agent autonomously calls researcher, architect, etc. as MCP tools β€” fully autonomous, no human in the loop until it finishes. Every invocation is tracked in the shared timeline.

Agent Factory

Don't want to write configs by hand? Add a factory instance:

config.json
{
  "mcpServers": {
    "agent-factory": {
      "command": "npx",
      "args": ["claude-octopus@latest"],
      "env": {
        "CLAUDE_FACTORY_ONLY": "true",
        "CLAUDE_SERVER_NAME": "agent-factory"
      }
    }
  }
}

This exposes a single create_claude_code_mcp tool β€” an interactive wizard. Tell it what you want ("a strict code reviewer that only reads files") and it generates the .mcp.json entry for you, listing all available options you can customize.

In factory-only mode, no query tools are registered β€” just the wizard. This keeps routing clean: the factory creates agents, the agents do work.

Init Wizard

Don't want to edit JSON by hand? The init wizard gets you from zero to working in 30 seconds:

Terminal
npx claude-octopus init
Code
  Claude Octopus β€” init wizard

  One brain, many arms. Let's set up your agents.

Pick a template (or build your own):

  1. Code Review Team β€” Reviewer + test writer + security auditor
  2. Publishing House β€” Researcher + architect + editor + proofreader
  3. Tiered Models β€” Haiku for quick Q&A, Sonnet for coding, Opus for hard problems
  4. Solo Agent β€” Single Claude Code agent with sensible defaults
  5. Agent Factory β€” Interactive wizard that generates agent configs on demand
  6. Custom β€” describe your own agent(s)

Choice [1-6]:

It auto-detects installed MCP clients (Claude Desktop, Claude Code, Cursor, Windsurf), merges with existing config, and warns before overwriting.

Skip the menu

Terminal
npx claude-octopus init --template code-review-team
npx claude-octopus init --template tiered-models
npx claude-octopus init --template publishing-house

Templates

Five built-in templates, battle-tested and ready to use:

TemplateAgentsPurpose
code-review-teamcode-reviewer (opus), test-writer (sonnet), security-auditor (opus)Thorough code review pipeline
publishing-houseresearcher (sonnet), architect (opus), editor (sonnet), proofreader (haiku)Multi-stage content/code pipeline
tiered-modelsquick-qa (haiku), coder (sonnet), deep-thinker (opus)Right model for the job
solo-agentclaude (default)Single agent, quick setup
factoryagent-factoryGenerates configs on demand

Each agent comes pre-tuned with appropriate model, tools, effort level, and system prompt.

Dashboard

Monitor your agents in real time:

Terminal
npx claude-octopus dashboard

Opens a local web dashboard at http://localhost:3456 with:

  • Live stats β€” total runs, invocations, cost, SDK turns, responses, errors
  • Recent activity β€” agent cards for the latest run
  • Run table β€” all runs with cost, duration, and status
  • Auto-refresh β€” SSE connection pushes updates as agents run
bash
# Custom port
npx claude-octopus dashboard --port 8080

The dashboard reads the same timeline index used by the _timeline and _report tools. No additional configuration needed.

Tools

Each non-factory instance exposes:

ToolPurpose
<name>Send a task to the agent, get a response + session_id + run_id
<name>_replyContinue a previous conversation by session_id
<name>_timelineQuery the cross-agent workflow timeline
<name>_transcriptRetrieve full session transcript from Claude Code's storage
<name>_sessionsList Claude Code session history β€” this project by default, or all projects with all_projects: true
<name>_reportGenerate a self-contained HTML report for a run or all runs

Query and reply parameters

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Claude Octopus

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "claude-octopus": { "command": "npx", "args": ["-y", "claude-octopus"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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