
PRTG Network Monitor MCP
io.github.Servosity由 GitHub 账号 Servosity 发布v0.1.1更新于 Nov 6, 2026
Every PRTG API v2 endpoint, plus a fleet view across every client's PRTG core: alarms, status
概览
本地 MCP 服务器与命令行工具,让助手查询和管理 PRTG Network Monitor 核心,并提供跨多个客户核心的合并舰队视图。
- 可以做什么
- 查询告警、传感器状态、交接摘要、被静音对象以及版本与授权到期等偏差
- 对单个核心或整个舰队执行只读 API v2 调用,并刷新离线镜像供搜索与分析使用
- 先预览再确认,对传感器和设备执行确认、暂停或恢复操作
- 触发自动发现与元扫描,并管理对象、用户和 API 密钥
- 一次性登记各客户核心,密钥保存在环境变量中而不写入磁盘
- 适用场景
- 适合每个客户各自运行一套 PRTG 核心的 MSP 或团队,需要一次性回答“所有客户哪里出故障”。也适合通过 AI 助手监控单个 PRTG 核心,读取状态并执行经确认的变更。
- 运行要求
- 以本地 stdio 进程运行(Claude Desktop 可用 .mcpb 包,或运行安装脚本把 prtg-cli 与 prtg-mcp 装到本机)。单核心需 PRTG_SERVER 与 PRTG_API_KEY;舰队工具需先登记核心并设置 PRTG_FLEET_KEYS。HTTP 模式需 PRTG_MCP_HTTP_TOKEN,非本地地址还需 TLS 证书。需能访问各核心的 API v2 端口(默认 1616)。
安装
在 SourceWeft 中
- 打开 控制台中的 PRTG Network Monitor MCP,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
PRTG + AI - for ChatGPT, Claude, GitHub Copilot, Microsoft 365 Copilot, Gemini, and any agent that speaks MCP
Unofficial. Community-built Claude Code Skill and MCP server for the PRTG API. Not affiliated with, endorsed by, or sponsored by Paessler GmbH.
[PRTG Network Monitor demo - animated preview]
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Every PRTG API v2 endpoint, plus a fleet view across every client's PRTG core: alarms, status, handoffs, hygiene and safe bulk actions in one command. Works with the AI you already use - ChatGPT (Plus/Pro+), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Microsoft 365 Copilot / Copilot Studio and Google Gemini via the remote path. Free, open source, runs on your laptop. Built for MSP owners. No code required.
Works with your agent
The six agents MSP owners actually use (self-serve, works today):
For ChatGPT, run prtg-mcp --transport http with PRTG_MCP_HTTP_TOKEN set, on an HTTPS host; every request sends that token. See mcp-install.md.
Also for the Microsoft and Google stacks
Big install base, but an honest heads-up: these are the remote / enterprise path, not the local binary you just installed.
Skill-native agents (also covered): Hermes and OpenClaw read this skill's
SKILL.mddirectly and speak MCP - see their install sections below. Also works with Cursor, Windsurf, Cline, Continue.dev, and Zed via MCP. Full per-tool wire-up: docs/which-agent.md.
Run more than one agent? Install across all 51+ supported agents in one command:
npx skills add Servosity/msp-skills@latest(requires Node.js, then run the per-skill installer for the CLI/MCP binaries). See docs/which-agent.md.
Install in 60 seconds
Fastest for Claude Desktop - one-click .mcpb
Download PRTG MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every PRTG release on the releases page.)
Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:
Path A - paste one prompt into your AI agent (recommended)
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the PRTG Skill and MCP server from Servosity/msp-skills in this agent workspace. If this workspace uses a POSIX shell (macOS, Linux, WSL, or Bash), run
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/prtg/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/prtg/install.ps1 | iex. Then authenticate per the README and runprtg-cli --helpto explore.
The same prompt works in any agent that can run shell.
Path B - run the installer yourself
Windows (PowerShell):
macOS / Linux:
The installer drops both prtg-cli (the CLI) and prtg-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
Upgrade to the latest version
The installer always fetches the current release - re-run it to upgrade:
macOS / Linux:
Windows (PowerShell):
Claude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update prtg@msp-skills.
Add to Claude Desktop, GitHub Copilot, Gemini CLI, Microsoft 365 Copilot, or another MCP client
After the installer runs, see mcp-install.md and docs/which-agent.md for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the remote Microsoft 365 Copilot / Copilot Studio path. Claude Desktop's Settings > Extensions panel is the simplest path; the MCP config block (for users who prefer editing JSON) is documented in mcp-install.md.
Install for Hermes
From the Hermes CLI:
Inside a Hermes chat session:
Hermes speaks MCP natively, so it can also use the prtg-mcp server directly - same install path, same env vars.
Install for OpenClaw
Tell your OpenClaw agent (copy this):
Install the prtg skill from https://github.com/servosity/msp-skills/tree/main/skills/prtg. The skill defines how its required CLI (
prtg-cli) can be installed via theopenclaw:frontmatter block.
OpenClaw isn't generally available yet; the frontmatter wiring is pre-shipped and will activate the moment OpenClaw launches.
Authenticate
Create an API key in each PRTG core under Account Settings > My Account > API Keys. The PRTG application server answers API v2 on port 1616 by default.
One core - macOS / Linux:
One core - Windows (PowerShell):
Every client core (for the fleet commands) - register each core once, and put every core's key in one variable, PRTG_FLEET_KEYS, as name=key pairs separated by commas:
core list shows key_set: true for each core whose key variable is set. A core with a self-signed certificate takes core add <name> --insecure-tls (that core only); for a single core use PRTG_SKIP_TLS_VERIFY=true. doctor checks config, paths, and API reachability, and reports whether credentials are loaded - it does not validate them. Run a read command to confirm the credential actually works end-to-end.
What this skill does
Register each client's PRTG core once (prtg-cli core add <name> --server <host[:port]>, keys in PRTG_FLEET_KEYS), then ask across all of them:
The fleet commands ask every registered core live, in one run. A core that fails to answer stays in the result as an error row rather than being counted as healthy; the command exits 0 when some cores fail and non-zero only when all of them do. fleet ack, fleet pause and fleet resume only preview until you add --yes. Every PRTG API v2 operation is also a typed command you can point at one core with --core <name>.
Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.
What makes this different
Most PRTG integrations talk to one PRTG server with one key. That is fine when you run one core. It stops working when every client has its own core and the question is "what is down for everyone".
This connector is built for one core per client. Each core is registered once with its server and the name of the environment variable that holds its key (the key itself is never written to disk). fleet alarms, fleet status, fleet handoff, fleet silenced and fleet drift ask every core in one run and return one merged, worst-first result with a core column, and fleet exec does the same for any read-only API v2 path. fleet sync refreshes a separate offline mirror per core, for search and analytics without a live call per question.
The pain this closes
Many MSPs give each client its own PRTG core: Paessler's MSP offering says PRTG MSP Edition supports running clients on fully separate instances. Each core then has its own web interface, alarm list and API key, so the start-of-shift question "what is down for every client" means opening each one. Paessler retired its multi-server desktop client, the Enterprise Console, from PRTG 19.4.53 and points users to PRTG Desktop and PRTG MultiBoard, which are viewers for a person at a desk, not something an AI agent can ask. And a pause or acknowledgement with no end date stays silent until someone remembers it.
prtg-cli fleet alarms --status down --unacked --agent- every unacknowledged down sensor on every core, with core, device, priority and how long it has been down.prtg-cli fleet handoff --since 12h --agent- new alarms and recoveries since the last shift, including sensors that came back after a pause or acknowledgement (via: after_gap).prtg-cli fleet silenced --indefinite --older-than 7d --agent- everything muted with no end date for over a week, with who muted it and why.prtg-cli fleet drift --within 30d --agent- cores behind your newest PRTG version, licenses and maintenance ending soon, and disconnected probes.
See pain-point.md for the longer narrative.
Frequently asked questions
Does this work with ChatGPT?
Yes, on Plus, Pro, Team, Business, Enterprise, and Education plans (Free tier does not yet expose Developer Mode). ChatGPT connects to remote MCP servers over HTTPS, not local stdio binaries. The PRTG MCP server runs locally over stdio by default. Its HTTP mode (prtg-mcp --transport http) serves http://127.0.0.1:7777/mcp, refuses to start until PRTG_MCP_HTTP_TOKEN is set, requires Authorization: Bearer <token> on every request, and needs --tls-cert/--tls-key for any other address. See mcp-install.md. Step-by-step in mcp-install.md.
Does this work with Codex, Cursor, Windsurf, Cline, Copilot, or Gemini?
Yes - all of them speak MCP. Cross-tool install commands are in the matrix above and the deep-dive in docs/which-agent.md.
Do I need to know how to code?
No. The recommended install is to paste one sentence into Claude Code or Codex - your agent reads SKILL.md and does the install. The fallback is a one-line installer per OS (bash or PowerShell). Neither path requires writing code. You'll enter your PRTG credentials once.
Is my PRTG data safe?
Your data stays on your machine. The CLI and MCP server are local binaries. The SQLite mirror sits in a directory under your user account. The AI agent only sees what the CLI returns - typically a query result, not raw bulk data. Credentials are read from your environment or your agent's config; never bundled into this repo or transmitted anywhere by MSP Skills.
Which PRTG versions and editions does it work with?
It uses PRTG API v2, which the PRTG application server serves on port 1616 by default. Paessler documents API v2 as not available on PRTG clusters, so use it with single-node PRTG Network Monitor cores. The fleet views read the typed list endpoints Paessler marks deprecated in favour of the experimental ones; PRTG still serves them, and they also work on cores older than 24.3. The fleet commands were verified against mock cores, not a live PRTG installation.
Can an agent pause or acknowledge things on my clients' cores by accident?
fleet ack, fleet pause and fleet resume only preview what they would do on each core until you add --yes. Over MCP, every tool that changes PRTG returns that preview until it is called again with confirm: true, and PRTG_MCP_READ_ONLY=1 makes the MCP server refuse every write. Single-core write commands such as sensors pause sensor send when you run them, so keep agents to reads and --dry-run previews.
Where do the API keys live?
In environment variables. For one core, set PRTG_SERVER and PRTG_API_KEY. For many, core add records each core's server, and PRTG_FLEET_KEYS holds every core's key as name=key pairs (acme=KEY1,globex=KEY2); the keys are never written to disk, and core list shows key_set for each core. In Claude Desktop, PRTG Fleet keys is one field in the extension's settings. Create keys in PRTG under Account Settings > My Account > API Keys with the lowest access level your workflow needs.
What does it cost?
Free. Apache-2.0 licensed. You pay only for whichever AI agent you use (Claude, ChatGPT, Codex, etc.), and that's billed by your AI provider, not by us.
Safety model
The strongest control is the scope you grant the PRTG credentials - the CLI can only do what the credentials are permitted to do. Full details, including how to lock it down, are in governance.md.
Status
Beta. Validated against the PRTG API surface and being validated with MSPs running it live against their own production tenant in our weekly Build Sessions. RSVP at compoundingteams.com/build-sessions.
Standards. Conforms to the open Agent Skills spec (Anthropic, Dec 2025; 40+ agents). MCP-compatible - works with any MCP-capable agent including Hermes. OpenClaw-ready (frontmatter pre-wired, awaiting OpenClaw launch).
Maintained by Servosity. Apache-2.0 licensed. Built with CLI Printing Press. Last updated: 2026-10-28.
来源:skills/prtg/README.md,提交 8e88535
工具
0版本历史
2- v0.1.1最新Nov 6, 2026
- v0.1.0Nov 5, 2026
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