MCP.so
登录

Claude Octopus MCP Server

@xiaolai

基本信息

分类

AI 与智能体

传输方式

stdio

作者

xiaolai

提交者

xiaolai

关于 Claude Octopus MCP Server

One brain, many arms. Spawn multiple specialized Claude Code agents as MCP servers via the Agent SDK. Each instance gets its own model, tools, prompt, and personality.

Claude Octopus MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "claude": {
      "command": "npx",
      "args": [
        "claude-octopus"
      ],
      "env": {
        "CLAUDE_PERMISSION_MODE": "bypassPermissions"
      }
    }
  }
}

Claude Octopus MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Claude Octopus?

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

How to use Claude Octopus?

Install via npm and configure as an MCP server using the JSON snippet shown, setting the environment variable CLAUDE_PERMISSION_MODE to bypassPermissions. Then invoke agents with your desired configuration.

Key features of Claude Octopus

  • Multi-instance: run several agents with different configs simultaneously
  • 18 env vars for model, tools, effort, permissions, plugins, prompts
  • Per-invocation overrides for model, tools, effort, permissions
  • Session continuity via _reply tool for follow-up conversations
  • Factory wizard to generate .mcp.json configs interactively
  • Hot-configurable: plugins, effort, permissions adjustable per invocation

Use cases of Claude Octopus

  • A strict code reviewer that only reads files
  • A test writer that defaults to TDD
  • A cheap quick helper on the Haiku model
  • A deep thinker on the Opus model

常见问题

1

How is Claude Octopus different from a single Claude Code instance?

Claude Octopus lets you run multiple specialized agents simultaneously, each with its own model, tools, and configuration, instead of one instance doing everything the same way.

2

What configurations can I customize per agent?

You can customize model, tools, effort, permissions, plugins, system prompts, and more via 18 environment variables or per-invocation overrides.

3

Can I use different models for different agents?

Yes, you can specify a different model per agent, such as Haiku for quick tasks and Opus for deep thinking.

4

How do I follow up on a previous conversation?

Use the `_reply` tool to continue a previous session, enabling follow-up conversations.

5

How do I generate configuration files?

Run the factory wizard to interactively generate `.mcp.json` configurations.

评论

AI 与智能体 分类下的更多 MCP 服务器