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Run heavy compute across your own idle devices as one machine. Code and data stay on your network.
Murmur 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 72/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。该条目暂无自动安装命令，请查阅仓库获取手动安装说明。 在将 Murmur 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
查看来源文档运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-26T01:21:52.283194Z",
"publishedAt": "2026-10-26T01:21:52.283194Z",
"statusChangedAt": "2026-10-26T01:21:52.283194Z"
}
},
"server": {
"name": "ai.murmurcomputing/murmur",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"ai.murmurcomputing/install": {
"licence": "Free for up to 10 devices, no card. The one human sign-in only activates the licence; code and data never leave your network. Paid plans above 10 devices.",
"first_tool": "murmur_run_script",
"install_sh": "https://cdn.murmurcomputing.ai/install.sh",
"start_here": "https://cdn.murmurcomputing.ai/START-HERE.md",
"mcp_after_install": "claude mcp add --scope user murmur -- murmur planner mcp"
}
}
},
"title": "Murmur",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.2.9",
"websiteUrl": "https://cdn.murmurcomputing.ai/START-HERE.md",
"description": "Run heavy compute across your own idle devices as one machine. Code and data stay on your network."
}
}