relayos-mcp
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., "@relayos-mcpreview and fix bugs in PR #42"
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.
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: all-agents-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
在 ~/.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 |
| 执行 Shell 命令 | 免费 |
| 问 Mimo AI | 免费 |
| 问 OpenCode AI | 免费 |
| 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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