Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
Every Rootly incident, alert, and on-call object as a typed command - plus a local SQLite mirror
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。
ROOTLY_API_KEY, ROOTLY_API_TOKEN, ROOTLY_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。
ROOTLY_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:ROOTLY_API_KEY, ROOTLY_API_TOKEN
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(0.1.7)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:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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 Rootly
API. Not affiliated with, endorsed by, or sponsored by Rootly, Inc..
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Every Rootly incident, alert, and on-call object as a typed command - plus a local SQLite mirror that answers related-incident, MTTR, coverage-gap, and on-call questions offline and instantly. 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 Rootly skill |
|---|---|
| Claude Desktop | Run installer, then Settings > Extensions to register rootly-mcp (no JSON editing). |
| ChatGPT (desktop app) | Run installer, then add rootly-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 rootly-mcp to mcp.json under the servers key, then pick Agent mode. |
The ChatGPT desktop app runs rootly-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 companionrootly-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 setROOTLY_CLI_PATHto an existing binary). Details: #331.
Download Rootly MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Rootly 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 rootly@msp-skills
Copy this into Claude Code, Codex CLI, or Claude Cowork:
Install the Rootly 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/rootly/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/rootly/install.ps1 | iex. Then authenticate per the README and runrootly-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/rootly/install.ps1 | iex
macOS / Linux:
bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/rootly/install.sh)
The installer drops both rootly-cli (the CLI) and rootly-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.
Verify:
rootly-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/rootly/install.sh)
Windows (PowerShell):
iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/rootly/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 rootly@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/rootly --force
Inside a Hermes chat session:
/skills install servosity/msp-skills/skills/rootly --force
Hermes speaks MCP natively, so it can also use the rootly-mcp server directly - same install path, same env vars.
Tell your OpenClaw agent (copy this):
Install the rootly skill from https://github.com/servosity/msp-skills/tree/main/skills/rootly. The skill defines how its required CLI (
rootly-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.
Set the credentials the CLI needs (from your Rootly portal):
ROOTLY_API_KEY=<value> ROOTLY_API_TOKEN=<value> rootly-cli doctor
doctor confirms the credentials work before you run anything that touches data. It exits 0 even when the credential is rejected, so scripts should add --fail-on error.
| Question your MSP keeps asking | Command |
|---|---|
| Who's on call right now across every service and schedule? | rootly-cli oncall-now |
| What past incidents are most similar to this one? | rootly-cli related |
| What actually fixed this service the last time it broke? | rootly-cli fixed-last-time |
| What's our MTTA and MTTR by service this quarter? | rootly-cli mttr --by service --since 90d |
| Where does an on-call schedule have an unstaffed gap? | rootly-cli coverage-gaps --days 14 |
| Is it safe to deploy this service right now? | rootly-cli deploy-guard |
| Which incidents are breaching or about to breach SLA? | rootly-cli sla-breach --within 2h |
| Which open action items are overdue, grouped by owner? | rootly-cli action-items-overdue --group-by owner |
| Draft a paste-ready post-mortem skeleton for this incident. | rootly-cli postmortem-skeleton |
Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.
Most Rootly 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 "what's our MTTR by service across the quarter?" or "which past incidents are most similar to this one?" - questions that otherwise mean a call per object or Rootly's own analytics surface.
This skill syncs Rootly 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 related, mttr, and coverage-gaps join across incidents, services, schedules, and on-call shifts - work a stateless API wrapper can't do.
On-call is where good teams quietly bleed out. Recurring on-call burnout and alert-fatigue threads on r/sysadmin and r/sre - and the industry's annual Catchpoint SRE Report - tell the same story: responders field a flood of pages, only a handful matter, and the real incident hides in the noise. Then at the reliability review, the numbers leadership wants - MTTA, MTTR, who's carrying the on-call load - get hand-stitched from exports. And nobody notices the gap in next week's schedule until an incident finds it first.
For an MSP running incident response across many client services, that's three open loops at once: too much noise to triage, no cheap way to report on it, and no early warning when coverage lapses. This skill closes them from the terminal:
只显示了开头部分;其余内容请在仓库中阅读