原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Linux MCP daemon (mcpd)

作者:nucleusv版本 0.5.1i★ –i在云端运行
注册名称io.github.nucleusv/linux-mcp-daemon

安装

概览

作者提供的说明(英文原文)

AI agent access to Linux servers without SSH: scoped tools, per-call isolation, root only if granted

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: SSE
  • 分类: 其他
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport sse linux-daemon 'https://{host}:9091/sse' --header 'Authorization: your-value'

运行前请先填写空着的值。

地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "linux-daemon": {
      "url": "https://{host}:9091/sse",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "linux-daemon": {
      "type": "sse",
      "url": "https://{host}:9091/sse",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization 机密 必填 HTTP header
    Bearer printed by `linuxctl create mcpd user`

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 nucleusv 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    这个地址需要填入你自己的账户信息,所以我们无法替你检查

  • – 不适用

    使用 OAuth 登录

    这个地址需要填入你自己的账户信息,所以我们无法替你检查

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32479 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32479 个服务器的 55% 更新
  • 基础检查结果等于或优于此分类中其他 32479 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Linux MCP daemon (mcpd) 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.5.1)于34天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Binggio

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Binggio

作者:binggio

Governed answers from your data: approved meanings only, refusals instead of guesses.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Linux MCP Daemon

A high-performance, Go-based Model Context Protocol (MCP) daemon (mcpd) designed to securely bridge AI agents directly with the Linux operating system.

Overview

This project implements a zero-dependency (kernel-first) philosophy. It allows AI agents to introspect and interact with the host Linux system directly via raw syscalls and the Virtual File System (/proc, /sys) without requiring bloated third-party parsing libraries.

Communication happens directly between the AI agent and the daemon via Server-Sent Events (SSE) and JSON-RPC over HTTPS on port 9091 (TLS is on by default, with a self-signed certificate generated on first start).

Why

An AI agent that helps run a server needs to see it - load, memory, disks, processes, services, logs, the network - and sometimes to act on it. The usual way is an SSH shell, and a shell is everything at once: any command, any file the account can reach, with sudo all of root, and hard to tell afterwards what was done. mcpd gives the agent typed tools instead of a shell:

  • Diagnose without a shell. "Why is the site slow?" - processes/top, memory/usage, disks/usage, logs/journal-control, logs/dmesg, network/connections, services/list answer it, with structured output (json/yaml) the agent doesn't have to scrape from top or df.
  • Root per tool, not per session. A user runs every tool as its own OS account; root is granted per tool in mcp-sudo.yaml and limited by paths, network destinations and sysctl keys - "may read /var/log as root and restart services" rather than "is root".
  • One agent, one account, one token. Each agent gets its own user, and every call is logged with the user, tool, arguments (secrets redacted) and result - an audit trail of what the agent did.
  • Small and self-contained. One static Go binary, reading /proc, /sys and systemd over D-Bus itself; it runs on a bare host, in Docker or in Kubernetes, and linuxctl gives people the same tools as a kubectl-like CLI.

Grant carefully. A root grant is root for an agent that follows instructions found in what it reads. Some grants that look narrow are full root (writes to /etc, services/manage, sysctl writes). Read Permissions and Risks before granting anything.

How It Works

  • Every tool/resource call spawns a fresh worker process and exits. There's no long-lived state per call - internal/worker/spawner.go re-execs the mcpd binary itself in worker mode (arguments on stdin, never argv), with syscall.Credential{Uid, Gid, Groups} set to a real OS account resolved via user.Lookup(). This is the actual privilege isolation, not a config flag: an unprivileged user's worker process is a genuinely different Linux UID than a privileged one's.
  • `configs/mcp-sudo.yaml` decides, per user and per tool, whether `privileged: true` is honored. Two grants exist for resources specifically (see ARCHITECTURE.md's gotcha section) - one for the resource URI itself, one for the internal worker tool name behind it.
  • When `mcpd` runs containerized (configs/daemon.yaml's worker.containerized: true, this project's actual Kubernetes deployment), a privileged worker also joins the real host's mount namespace (setns(CLONE_NEWNS) on /proc/1/ns/mnt, no external nsenter binary) - so privileged: true means root on the real host, not just root inside the daemon's own container image.
  • Bearer tokens are salted+hashed in users.yaml (token_salt + token_hash, sha256, constant-time compared; the file is 0600), not stored in plaintext. Users and grants are edited only locally, on the host, via linuxctl mcpd user and linuxctl edit mcpd config (validated like visudo) - there is no MCP tool that edits them, so nothing with just a bearer token can grant itself anything. The running daemon applies changes without a restart through daemon/reload-config, which only re-reads the files and rejects invalid ones (see Daemon User Administration).
  • Every read is schema-driven, not hand-listed. linuxctl fetches tools/list/resources/list/resources/templates/list from the live daemon on every invocation and resolves its [keyword] grammar against that - a new tool added server-side is immediately usable client-side with zero code changes.

Features

  • Direct AI Interaction: HTTP/SSE transport for immediate agent-to-daemon communication.
  • Strict Security: Rate limiting, salted+hashed Bearer token authentication, and directory traversal protection.
  • Privilege Separation: Master daemon runs as root, spinning up ephemeral unprivileged/privileged workers based on rules defined in configs/mcp-sudo.yaml.
  • High Performance: Uses singleflight deduplication and TTL caching for efficient system introspection.
  • Docker & Kubernetes Ready: Fully containerized with a multi-stage Docker build and Kubernetes deployment manifests that allow safe host introspection.

Get started

Install on Linux (systemd)
curl -fsSL https://raw.githubusercontent.com/nucleusv/linux-mcp-daemon/main/scripts/install.sh | sudo bash

Needs sudo and curl on an amd64/arm64 host (in a bare ubuntu/debian container: apt update && apt install -y curl ca-certificates, then pipe to bash as root). This downloads the latest release for your architecture (amd64/arm64), verifies its sha256 checksum, installs mcpd and linuxctl to /usr/local/bin, writes clean configs to /etc/mcpd/configs (no default users or tokens), creates a first user mcp and prints its token once, and starts the mcpd systemd service. Then:

export MCP_SERVER=https://127.0.0.1:9091

export MCP_TLS_FINGERPRINT= export MCP_TOKEN= linuxctl get system os-release linuxctl get processes top

  • Upgrade: run the same command again - configs are kept, the service restarts only if mcpd changed. From v0.1.0, grant your first user daemon/reload-config once - see Upgrading.
  • Pin a version / name the user: ... | sudo bash -s -- --version v0.1.0 --user alice
  • More users: each needs an OS account of the same name - see Adding more users.
  • Uninstall: ... | sudo bash -s -- --uninstall (add --purge to delete /etc/mcpd; the mcp OS account stays - sudo userdel -r mcp)
  • Packages: .deb and .rpm for amd64/arm64 on every release - sudo apt install ./linux-mcp-daemon_ _amd64.deb or sudo dnf install ./linux-mcp-daemon- -1.x86_64.rpm, then the next steps it prints.
  • Container image: ghcr.io/nucleusv/linux-mcp-daemon (amd64/arm64) - setup steps in the installation docs.
  • macOS (CLI only): the same script installs just linuxctl - curl -fsSL .../install.sh | bash -s -- --bin-dir ~/.local/bin, then export PATH="$HOME/.local/bin:$PATH" (not on macOS's default PATH) - to drive a remote mcpd.

mcpd listens on all interfaces over TLS (a self-signed certificate it creates on first start; clients pin its fingerprint). Plain HTTP is off by default - bearer tokens would travel in clear text. Root access for tools is granted per user and per tool in mcp-sudo.yaml.

Full guide: Installation · Connect an AI agent · mcp-sudo.yaml

Development: build from source

1. Build and Deploy the Server (mcpd)
  1. Build the Docker image:
   ./scripts/build.sh
  1. Deploy to your local Kubernetes cluster:
   ./scripts/deploy.sh
2. Build the Client (linuxctl)

You can build the CLI client directly on your host machine (e.g. macOS):

./scripts/build-cli.sh                  # writes executables/linuxctl

export PATH="$PWD/executables:$PATH" # so the examples below run as written

Installed from a release (install.sh, .deb/.rpm), linuxctl is already on your PATH.

3. Usage (local development)

The daemon runs on port 9091. You can connect via your AI client using SSE, or use the linuxctl CLI tool:

# Set your token as an environment variable

export MCP_TOKEN="your_token_here"

Ping the daemon

linuxctl ping

linuxctl speaks a small verb/group grammar (linuxctl [target-keyword] [args]) and dynamically discovers every tool and resource from the running daemon - there's no separate client-side command list to keep in sync. Full reference: linuxctl docs or man linuxctl. Every example below shows both forms: linuxctl, and the raw MCP JSON-RPC curl call it resolves to - the full per-tool/resource reference with these side by side for every single one lives at MCP API docs.

Calling the API directly with curl

mcpd speaks JSON-RPC 2.0 over HTTP + SSE, not plain request/response HTTP - every call is a two-step handshake: open an SSE stream to get a one-time POST endpoint, then POST the JSON-RPC request there (the actual result streams back on the SSE connection, not in the POST's response body):

# 1. Open the SSE stream in the background and capture the endpoint it prints

curl -N -s --cacert mcpd.crt -H "Authorization: Bearer $MCP_TOKEN" https://localhost:9091/sse &

server sends: event: endpoint / data: /message?session_id=...

2. POST a request to that endpoint

curl -s --cacert mcpd.crt -X POST "https://localhost:9091/message?session_id= " \ -H "Authorization: Bearer $MCP_TOKEN" \ -H "Content-Type: application/json" \ -d '{"jsonrpc": "2.0", "id": "1", "method": "tools/list"}'

3. Watch the SSE stream from step 1 for the matching "id": "1" response

Every example below follows this exact pattern - only the -d payload changes.

Files
# List a directory, as a table (get is the sole read verb - one result or many, same as kubectl)

$ linuxctl get files list /var/log --output table MODIFIED NAME SIZE IS_DIR 2026-09-22 18:38:14 alternatives.log 6522 false 2026-09-22 18:38:10 apt 4096 true ...

```bash

curl -s -X POST "$END

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