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relayos-mcp

Claude Code 即 AI 团队指挥。 你说需求,我规划分工,免费终端干重活。

一句话

你 -> Claude Code(我) -> MCP tools -> mimo / opencode / 本地命令
                    |
              我负责计划、分配、审核
              免费模型负责执行
              花最少的钱,干最高质量的活

Related MCP server: llm-router-mcp

安装

pip install relayos-mcp[mcp]

验证

relay-task agents

应该看到 [ok] mimo[ok] opencode[ok] claude 等。

配置 Claude Code

~/.claude/settings.json 中添加:

{
  "mcpServers": {
    "relayos": {
      "command": "relayos-mcp",
      "args": []
    }
  }
}

重启后我就能调用这些工具:

工具

用途

成本

run_command

执行 Shell 命令

免费

ask_mimo

问 Mimo AI

免费

ask_opencode

问 OpenCode AI

免费

ask_claude

问 Claude (如果装了)

收费

工作流程

你: "审查这个 PR,跑测试,修 bug"
 |
我: 分析 PR -> 发现需要:
    |- ask_mimo("审查 security 问题")     <- 免费
    |- run_command("pytest tests/")      <- 免费
    |- 我自己修 bug + 代码 review         <- Claude 负责
 |
你: 收到最终报告

原则

  • 省钱:单调工作让免费模型做,Claude 只做决策和审核

  • 省时:并行派活,不用等我一个个做完

  • 质量:我负责规划分工和质量把关

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