Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者提供的说明(英文原文)
Every Atera RMM + PSA endpoint, plus a local SQLite mirror that answers fleet-health, SLA, and
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。
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。
选择你使用的 AI 应用,然后复制设置。
ATERA_ACCOUNT_API, ATERA_API_KEY, ATERA_BASE_URL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 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
运行前请先填写空着的值。
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。
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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
ATERA_BASE_URL env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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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7日
注册名称已通过 GitHub 账户 servosity 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
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。
你需要填写:ATERA_ACCOUNT_API, ATERA_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.8)于14天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP
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
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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。
Unofficial. Community-built Claude Code Skill and MCP server for the Atera
API. Not affiliated with, endorsed by, or sponsored by Atera Networks Ltd.
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Every Atera RMM + PSA endpoint, plus a local SQLite mirror that answers fleet-health, SLA, and book-of-business questions no single API call can. Works with the AI you already use - ChatGPT (desktop app), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Gemini CLI. Free, open source, runs on your laptop. Built for MSP owners. No code required.
Security note (until this connector is reprinted). Do not run HTTP mode
(
--transport http), not even on localhost. This build has no password,
listens on every network interface, and predates the browser-rebinding guard,
so a web page you open can reach it. The MCP tools can also make changes with
your credentials. Use the default stdio transport. If you set up a tunnel for
a remote agent, shut it down. A fix is on the way.
The six agents MSP owners actually use (self-serve, works today):
| Your AI agent | How to install the Atera skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register atera-mcp (no JSON editing). |
| ChatGPT (desktop app) | Run installer, then add atera-mcp in Settings > MCP servers as a local (STDIO) server. ChatGPT on the web is not supported yet. |
| Codex CLI | Paste the install prompt below. |
| Claude Code | Paste the install prompt below. |
| Claude Cowork | Paste the install prompt below. |
| GitHub Copilot (VS Code) | Run installer, add atera-mcp to mcp.json under the servers key, then pick Agent mode. |
The ChatGPT desktop app runs atera-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote (HTTP) server, and this connector's HTTP mode is paused until it is reprinted (see the security note in mcp-install.md), so msp-skills does not support it yet. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list.
Big install base, but an honest heads-up: Gemini CLI runs the local binary you just installed, while Microsoft 365 Copilot and the Gemini app need a remote server, which msp-skills does not support yet.
| Agent | What it takes |
|---|---|
| Microsoft 365 Copilot / Copilot Studio | Not supported by msp-skills yet: it needs a remote server. A hosted gateway is the better pick; check that your AI app is on the gateway's setup list. |
| Google Gemini | Gemini CLI is local - same as Claude Code. See mcp-install.md. The Gemini app needs a remote server and is not supported by msp-skills yet. |
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](../../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.
.mcpbClaude Desktop bundle: the
.mcpblaunches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companionatera-cli. Releases cut from 2026-09-18 on ship that CLI inside the bundle; older bundles contain only the MCP server, so if yours lacks the companion, run the Path A or Path B installer below first (or setATERA_CLI_PATHto an existing binary). Details: #331.
Download Atera MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Atera release on the releases page.)
Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:
/plugin marketplace add Servosity/msp-skills
/plugin install atera@msp-skills
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the Atera 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/atera/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/atera/install.ps1 | iex. Then authenticate per the README and runatera-cli --helpto explore.
The same prompt works in any agent that can run shell.
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/atera/install.ps1 | iex
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/atera/install.sh)
The installer drops both atera-cli (the CLI) and atera-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
atera-cli --version
The installer always fetches the current release - re-run it to upgrade:
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/atera/install.sh)
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/atera/install.ps1 | iex
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 atera@msp-skills.
After the installer runs, see [mcp-install.md](./mcp-install.md) and [docs/which-agent.md](../../docs/which-agent.md) for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the ChatGPT desktop app. 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.
From the Hermes CLI:
hermes skills install servosity/msp-skills/skills/atera --force
Inside a Hermes chat session:
/skills install servosity/msp-skills/skills/atera --force
Hermes speaks MCP natively, so it can also use the atera-mcp server directly - same install path, same env vars.
Tell your OpenClaw agent (copy this):
Install the atera skill from https://github.com/servosity/msp-skills/tree/main/skills/atera. The skill defines how its required CLI (
atera-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.
Create an API key in your Atera portal under Admin → API, then set it and confirm it works:
ATERA_API_KEY=<your-key> atera-cli doctor
doctor confirms the credential works and the API is reachable before you run anything that touches data. It exits 0 even when the credential is rejected, so scripts should add --fail-on error. You can also persist it with atera-cli auth set-token.
| Question your MSP keeps asking | Command |
|---|---|
| Which agents have gone offline or stopped checking in? | atera-cli agents stale --days 30 |
| Which open tickets are closest to breaching SLA? | atera-cli tickets sla |
| Who is overloaded on the service desk right now? | atera-cli tickets workload |
| Which customers have managed agents but no active contract? | atera-cli customers coverage |
| What contracts expire in the next 60 days? | atera-cli contracts expiring --days 60 |
| What's my full book of business by customer and contract mix? | atera-cli customers book |
| Where are the chronic machines generating the most alerts? | atera-cli agents noisy --days 7 |
| What's the patch-compliance picture across the fleet? | atera-cli agents patch-status |
| Which machines are running an end-of-life OS? | atera-cli agents inventory --eol |
| What changed across agents, tickets, and alerts since yesterday? | atera-cli since 24h |
Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.
Most Atera integrations and MCP servers proxy each question into a live API call. That's fine for one record. It dies at scale, when you're asking "which customers across all 40 clients have managed agents but no active contract" or "what's about to breach SLA right now."
This skill syncs Atera into a local SQLite mirror with full-text search. Aggregate questions become one local SQL join: instant, offline, and the AI sees the answer, not the raw data. Compound commands like customers coverage, customers book, and agents noisy join across customers, contracts, agents, and alerts - work a stateless API wrapper can't do.
Atera's reporting is the consistent gripe in G2 and Capterra reviews: custom reports need workarounds, filtering is rigid, exports are clunky, and the deeper cross-client analytics sit behind higher-tier plans. There's no single screen that answers "which machines went dark," "which tickets breach SLA next," or "which customers are under-contracted" across every client at once - you assemble it by hand, portal tab by portal tab.
This skill closes that gap with cross-client rollups that run offline against the local mirror:
只显示了开头部分;其余内容请在仓库中阅读