能力标签
Proxmox MCP 控制助手
🔌
MCP工具

Proxmox MCP 控制助手

基于 Python · 让 AI 助手直接操作你的系统与工具
英文名:proximo
⭐ 8 Stars 🍴 1 Forks 💻 Python 📄 Apache-2.0 🏷 AI 8.2分
8.2AI 综合评分
虚拟化管理私有云自动化运维
✦ AI Skill Hub 推荐

Proxmox MCP 控制助手 是 AI Skill Hub 本期精选MCP工具之一。综合评分 8.2 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析

Proxmox MCP 控制助手 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 Proxmox MCP 控制助手,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。Proxmox MCP 控制助手 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 Proxmox MCP 控制助手 评为 AI 评分 8.2 分,属于同类工具中的优质选择。

📋 工具概览

这是一个基于MCP协议的开源工具,允许AI代理直接管理Proxmox虚拟化环境,涵盖VE、备份服务器、邮件网关及数据中心管理。它将复杂的虚拟化运维转化为自然语言交互,非常适合需要通过AI自动化管理私有云的DevOps工程师和系统管理员。

Proxmox MCP 控制助手 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 8
开发语言
Python
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
Apache-2.0
AI 综合评分
8.2 分
工具类型
MCP工具
Forks
1

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

这是一个基于MCP协议的开源工具,允许AI代理直接管理Proxmox虚拟化环境,涵盖VE、备份服务器、邮件网关及数据中心管理。它将复杂的虚拟化运维转化为自然语言交互,非常适合需要通过AI自动化管理私有云的DevOps工程师和系统管理员。

Proxmox MCP 控制助手 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/john-broadway/proximo

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "proxmox-mcp-----": {
      "command": "npx",
      "args": ["-y", "proximo"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 Proxmox MCP 控制助手 执行以下任务...
Claude: [自动调用 Proxmox MCP 控制助手 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "proxmox_mcp_____": {
      "command": "npx",
      "args": ["-y", "proximo"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 37/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <a href="https://john-broadway.github.io/proximo/"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/john-broadway/proximo/main/docs/brand/proximo-titlecard-dark-63e64dd5.png"> <img alt="Proximo" src="https://raw.githubusercontent.com/john-broadway/proximo/main/docs/brand/proximo-titlecard-light-c1322c4d.png" width="880"> </picture> </a> </p>

<p align="center"> <a href="https://github.com/john-broadway/proximo/actions/workflows/ci.yml"><img src="https://github.com/john-broadway/proximo/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <a href="https://github.com/john-broadway/proximo/actions/workflows/codeql.yml"><img src="https://github.com/john-broadway/proximo/actions/workflows/codeql.yml/badge.svg" alt="CodeQL"></a> <a href="https://github.com/john-broadway/proximo/releases"><img src="https://img.shields.io/github/v/release/john-broadway/proximo" alt="Release"></a> <a href="https://pypi.org/project/proximo-proxmox/"><img src="https://img.shields.io/pypi/v/proximo-proxmox" alt="PyPI"></a> <a href="./pyproject.toml"><img src="https://img.shields.io/badge/python-3.12%2B-blue" alt="Python 3.12+"></a> <a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-blue" alt="License Apache-2.0"></a> </p>

<p align="center"> <a href="https://scorecard.dev/viewer/?uri=github.com/john-broadway/proximo"><img src="https://api.scorecard.dev/projects/github.com/john-broadway/proximo/badge" alt="OpenSSF Scorecard"></a> <a href="https://www.bestpractices.dev/projects/13564"><img src="https://www.bestpractices.dev/projects/13564/badge" alt="OpenSSF Best Practices"></a> <a href="https://glama.ai/mcp/servers/john-broadway/proximo"><img src="https://glama.ai/mcp/servers/john-broadway/proximo/badges/score.svg" alt="Glama score"></a> <a href="https://lobehub.com/mcp/john-broadway-proximo"><img src="https://lobehub.com/badge/mcp/john-broadway-proximo?style=flat&v=3" alt="LobeHub — grade, tools, prompts"></a> </p>

<p align="center"> <a href="https://john-broadway.github.io/proximo/">Enter the ludus ↗</a> · <a href="#quickstart">Quickstart</a> · <a href="docs/SETUP.md">Setup</a> · <a href="#the-trust-layer-what-makes-proximo-different">Trust layer</a> · <a href="#demo">Demo</a> · <a href="#surfaces--tools-one-control-plane">Tools</a> · <a href="#install--run">Install</a> · <a href="SECURITY.md">Security</a> · <a href="#documentation">Docs</a> </p>

Named for Proximo, the lanista of Gladiator. The story is the design, joint for joint.

He armed his fighter with exactly what he needed, never more. He answered for every move in the arena. A lanista, not a jailer. The Spaniard earns his name by conduct, on the record, and the helmet comes off: truth said plainly, at cost. His last act opened the cages, holding the wooden sword of his own freedom. A tool should hope to end that well.

>"Win the crowd and you will win your freedom."

The others make you pick: a read-only toy, or full keys and pray. Proximo won't. Every dangerous move is planned: see the blast radius first. Every move is proven: a tamper-evident record. And undoable wherever the platform gives us a primitive: a config change hands back the exact prior state, and a risky in-container command can take a snapshot first, and refuses to run if it can't.

Trust built into the substrate, not bolted on after. Hand an AI agent the keys; keep the receipts.

Sovereign and agent-agnostic. Your metal, your token, a ledger you own. No cloud, no phone-home, no standing server unless you opt in.

Install & run

📦 0.40.0: on PyPI, GitHub, and GHCR (signed multi-arch image). New in 0.40.0 (doctor says where near-root exec lands). ct_exec and the node shell ride an ssh target or run on the box itself, never the API, so the machine the API reads and the machine a near-root command lands on can differ, and nothing said so. proximo doctor now reports where exec lands, resolves the ssh target through ssh's own config, counts every name and address this machine goes by as one host, and flags a split target with a remedy you can follow as written. The shadow-key flag also compares every set-valued key the way its gate reads it, so a reordered allowlist is no longer a change, and the TLS warning counts a pinned fingerprint as verification. Recent: 0.39.1 made every allowlist refusal name the store that fed it. See SECURITY.md for what each control honestly holds.

Proximo runs on your machine, on demand. No daemon, no open port.

``` uvx proximo-proxmox # zero-install run (PyPI package: proximo-proxmox; command stays proximo)

or: pip install proximo-proxmox the MCP core

or: pip install "proximo-proxmox[a2a]" + the optional A2A face

or: pip install "proximo-proxmox[http]" + the optional HTTP/OpenAPI face

or: pip install "proximo-proxmox[mcp-http]" + the optional MCP-over-streamable-HTTP face

or, from source: git clone https://github.com/john-broadway/proximo.git && cd proximo && uv pip install -e .

```

Wire it into your MCP client as the command proximo, with the PROXIMO_* env vars; see packaging/proximo.env.example.

Docker (GHCR): docker run -i --rm … ghcr.io/john-broadway/proximo:latest. Multi-arch, SBOM, sigstore-signed provenance (gh attestation verify oci://ghcr.io/john-broadway/proximo --owner john-broadway). Mirrored to Docker Hub (docker.io/jebroadway/proximo, identical digest); GHCR stays the signed primary.

Safe by default: API-only out of the box. The two near-root edges are opt-in and say so loudly: LXC exec (PROXIMO_ENABLE_EXEC=1, near-root on the host) and the qemu-guest-agent edge (PROXIMO_ENABLE_AGENT=1, near-root in a guest). Each is scoped by its own fail-closed allowlist. Smallest footprint by design: you don't have to load the whole estate: what a box serves is autoscoped to what it configures. A PBS-only box gets that plane's tools plus the always-on audit trail; PROXIMO_SURFACES=pve,exec scopes the searchable catalog to that pair (318 tools); a typo'd surface refuses startup rather than serving a surprise. Surfaces choose which planes are searchable, never how many schemas load; the doorway stays the default unless you name another with PROXIMO_TOOLSETS. Scoping is context hygiene, not an authorization control: it changes what is advertised, never what a token is allowed to do. The default doorway (dynamic mode) keeps four search-and-call tools resident (proximo_read runs read-only tools with an enforced readOnlyHint; proximo_call runs anything) plus the two ledger tools (audit_verify proves the chain, audit_entries reads who did what) and proximo_recall while estate memory is on (the default; PROXIMO_MEMORY=0 opts out), with the full catalog reachable by name. That narrowing is guarded at every entry point (0.27.0 closed a path where an opt-in flag could silently cut the registry to 5 tools), and the gates don't shrink with the doorway: PLAN and PROVE apply however small the visible surface gets.

The network faces (experimental, opt-in): proximo-a2a speaks Agent2Agent. proximo-http serves plain HTTP + generated /openapi.json for no-code clients. proximo-mcp-http serves MCP itself over Streamable HTTP (the SDK's native transport) for networked MCP clients: no third-party stdio→HTTP bridge, so the perimeter stays Proximo's.

All three serve the full surface through the same spine as MCP. No second code path; trust spine and token scope inherited. Fail-closed perimeter: loopback, bearer-token required off-localhost, DNS-rebind and CSRF defended. Details: SECURITY.md.

Quickstart

// your MCP client config (Claude Desktop / Claude Code / Cursor / …)
{
  "mcpServers": {
    "proximo": {
      "command": "uvx",
      "args": ["proximo-proxmox"],
      "timeout": 60,                                     // startup is ~3.5s; a 3s client default drops the server silently
      "env": {
        "PROXIMO_API_BASE_URL": "https://your-pve:8006/api2/json",
        "PROXIMO_NODE": "your-node",
        "PROXIMO_TOKEN_PATH": "/path/to/token-file"   // USER@REALM!TOKENID=SECRET, by reference, never inlined
      }
    }
  }
}

Claude Code, one line:

claude mcp add proximo --env PROXIMO_API_BASE_URL=https://your-pve:8006/api2/json \
  --env PROXIMO_NODE=your-node --env PROXIMO_TOKEN_PATH=/path/to/token-file -- uvx proximo-proxmox

Or install with one click:

Install in VS Code Install in Cursor

<sub>Both prompt for the token file path; the secret never lands in client config. No token yet? uvx proximo-proxmox mint prints the least-privilege runbook.</sub>

Then preflight what your token can actually do (read-only):

uvx proximo-proxmox doctor

Start with a read-only token. Proximo is useful long before you grant it write. Full token-first walkthrough: docs/SETUP.md · more install paths: Install & run.

Demo

The record defends itself:

<p align="center"> <img src="https://raw.githubusercontent.com/john-broadway/proximo/main/docs/demo/hand-the-keys.svg" alt="Hand-the-keys demo: three agent moves land in the keyed hash-chained ledger and audit_verify answers ok=True keyed=True; an in-place edit breaks the chain at the exact line (ok=False); a truncation that fools the forward walk is caught by the pinned head" width="860"> </p>

<p align="center"><sub>Three agent moves land in the keyed ledger; one entry gets edited in place; <code>audit_verify()</code> breaks at the exact line, <b>ok=False</b>; the truncation a forward walk would miss is caught against the pinned head. Real code, real crypto, nothing staged, recorded on 0.30.0. Run it yourself anywhere: <a href="./scripts/demo/hand_the_keys.py"><code>scripts/demo/hand_the_keys.py</code></a> (needs only the pip package) · against your own host: <code>--live</code> · verify by hand: <a href="VERIFY.md">VERIFY.md</a>.</sub></p>

🎯 aiskill88 AI 点评 A 级 2026-07-12

aiskill88点评:将企业级虚拟化能力接入MCP生态,极大地降低了私有云运维门槛,实用性极强。

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • Python 依赖冲突:建议用 venv / uv 隔离环境
部署方案
  • Docker:proximo 提供官方镜像,docker compose up 一键启动
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
proximo 中文教程proximo 安装报错怎么办proximo MCP 配置proximo Docker 部署proximo Agent 工作流proximo 与同类工具对比proximo 最佳实践proximo 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • Python 依赖冲突:建议用 venv / uv 隔离环境

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +Apache-2.0 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。

🔗 相关工具推荐

📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

支持Proxmox VE、备份服务器(PBS)、邮件网关(PMG)及整体数据中心。
💡 AI Skill Hub 点评

经综合评估,Proxmox MCP 控制助手 在MCP工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ Apache-2.0 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 Proxmox MCP 控制助手
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 proximo
原始描述 开源MCP工具:The Proxmox MCP you can hand the keys — VE + Backup Server + Mail Gateway + Data。⭐8 · Python
Topics 虚拟化管理私有云自动化运维
GitHub https://github.com/john-broadway/proximo
License Apache-2.0
语言 Python
🔗 原始来源
🐙 GitHub 仓库  https://github.com/john-broadway/proximo

收录时间:2026-07-12 · 更新时间:2026-07-12 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。

📺 订阅 AI Skill Hub Daily Telegram 频道
每天 8 条精选 AI Skill、MCP、Agent 与自动化工具推送
加入频道 →