
Servosity MCP
io.github.Servosity由 GitHub 帳號 Servosity 發布v0.6.13更新於 Nov 6, 2026
Fleet-wide backup triage, stale-backup detection, and cross-engine analytics for any MCP agent.
概覽
專為 Servosity MSP 合作夥伴打造的第一方 MCP 伺服器,讓 AI 助理進行跨客戶備份分診、過期備份偵測與跨客戶分析。
- 可以做什麼
- 查詢本機客戶群鏡像,取得依嚴重度排序的待處理清單、隔夜變化、過期備份集與整體健康度
- 稽核保留政策、未設定備份的代理程式、故障叢集,並核對帳單與發票
- 為備份過期的客戶草擬追蹤郵件,產出單一客戶或季末的 QBR 報告
- 依游標讀取已記錄的問題事件,並進行搜尋與備份事實查詢,不額外呼叫 Servosity
- 執行經預覽的寫入操作,例如分診的忽略、封存、重新啟用、留言,以及原始資源建立與更新
- 適用情境
- 適合使用 Servosity 備份與災難復原、希望助理回答跨客戶問題的 MSP 合作夥伴,例如哪些客戶的備份已過期、隔夜發生什麼變化,而這些資訊在合作夥伴入口網站中分散於各客戶頁面。它補充而非取代合作夥伴入口網站。
- 執行需求
- 以本機 stdio 程序執行(Claude Desktop 的 .mcpb 套件,或安裝程式將 servosity-cli 與 servosity-mcp 放入本機);部分套件需要搭配 CLI 或設定 SERVOSITY_MSP_CLI_PATH。需要 Servosity 合作夥伴 API 權杖(SERVOSITY_MSP_TOKEN)與 MSP 合作夥伴帳戶。選用設定包括 SERVOSITY_MSP_BASE_URL、PRINTING_PRESS_CLIENT_PROFILE、SERVOSITY_MSP_RESELLER_ID、SERVOSITY_MSP_READ_ONLY 與 SERVOSITY_MSP_NO_LOCAL_DATA。僅支援桌面端代理程式,尚未支援網頁版 ChatGPT。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Servosity MCP,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Servosity + AI - for Claude, ChatGPT, Codex, Cursor, and any agent that speaks MCP
Published by Servosity Inc. for MSP partners. A first-party Claude Code Skill and MCP server for the Servosity backup and DR platform. Servosity is a trademark of Servosity Inc. Apache-2.0 licensed.
[Servosity demo - animated preview]
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Add fleet-wide backup triage, stale-backup-set detection, overnight drift, per-client situational awareness, and cross-client analytics to the AI you already use - Claude Code, Claude Desktop, ChatGPT (desktop app), Codex, Cursor, Windsurf, Cline, Continue, Gemini, or GitHub Copilot. Free, open source, runs on your laptop. A local fleet mirror means your AI can answer cross-client questions the partner portal can't show on one screen - Friday-email-ready in seconds. Built for MSP partners. No code required.
Works with your agent
The five agents MSP owners actually use:
The ChatGPT desktop app runs servosity-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote server, which msp-skills does not support 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. Setup steps: mcp-install.md.
Also works with Cursor, Windsurf, Cline, Continue.dev, Zed, GitHub Copilot, and Gemini CLI - plus Hermes and OpenClaw, both via MCP and the pre-wired skill frontmatter. 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
Claude Desktop bundle: the
.mcpblaunches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companionservosity-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 setSERVOSITY_MSP_CLI_PATHto an existing binary). Details: #331.
Download Servosity MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Servosity 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 Servosity 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/servosity/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/servosity/install.ps1 | iex. Then authenticate withSERVOSITY_MSP_TOKEN=<your-partner-token> servosity-cli doctorand runservosity-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 servosity-cli and servosity-mcp 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 servosity@msp-skills.
Add to Claude Desktop, Cursor, Windsurf, Cline, Continue, Gemini, or Copilot
After the installer runs, see mcp-install.md and docs/which-agent.md for the per-agent wire-up. Claude Desktop's Settings > Extensions panel is the simplest path.
Install for Hermes
From the Hermes CLI:
Inside a Hermes chat session:
Hermes speaks MCP natively, so it can also use the servosity-mcp server directly - same install path, same env vars.
Install for OpenClaw
OpenClaw is GA. Install the skill directly from this repo:
Or tell your OpenClaw agent (copy this):
Install the servosity skill from https://github.com/Servosity/msp-skills/tree/main/skills/servosity. The
metadata.openclawfrontmatter declares the required CLI (servosity-cli) and env vars; runopenclaw doctorif anything is missing.
openclaw also speaks MCP natively (see openclaw mcp set in the OpenClaw MCP docs) so you can wire servosity-mcp as an MCP server alongside the skill.
Authenticate
Get your partner API token from the Servosity partner portal, then:
doctor confirms the token works and the local mirror is reachable before you run anything that touches client data. It exits 0 even when the credential is rejected, so scripts should add --fail-on error.
What this skill does
Outcome-first, with the single command that answers each question:
Issue changes as events
Servosity has no issue webhooks yet, so issues watch polls your reseller's issue list (read-only, every 5 minutes by default) and records each change as an event your agent reads by cursor.
- Events:
servosity.issue.created,servosity.issue.updated(state, severity, priority,updated_atorlast_seen_atchanged),servosity.issue.archived,servosity.issue.ignored,servosity.issue.reactivated.--typenarrowsevents listto one. - Each event carries issue and company ids and triage fields only, never the description or comments. Run
issues read <id>for the rest. - The issue list holds active issues only, so an active issue that leaves it is re-read to learn whether it was archived or ignored, and an ignored issue is re-read at most hourly to catch it being archived or changed. An issue you can no longer read is dropped.
- Only GET requests reach Servosity. The first poll must read every page before it records the baseline. A failed poll waits twice as long each time, at most an hour; a refused token stops the watch.
- Over MCP,
events_listreads the recorded events (read-only, no Servosity call).issues watchis CLI-only.
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 AI integrations for backup and DR vendors proxy each question into a live API call against the partner portal. That's fine for one client. It fails when you're asking "which of my 47 clients have a backup set that hasn't succeeded in 7 days?" - the partner portal scatters that across per-client pages, per-type views (M365, DR Server, DR Desktop), and an alert queue full of noise.
This skill syncs Servosity into a local fleet mirror with snapshot history and FTS5 search. Cross-client questions become one local query: instant, offline, and the AI sees the answer, not a context window full of paginated JSON. Compound commands like attention, drift, stale-backups, and backup-facts join across companies, backups, and issues - and the snapshot history they persist powers drift, fleet-health deltas, and storage-trend forecasts no stateless API wrapper can offer.
The pain this closes
Backup and DR is where "silent failure" hurts most. The pains MSP owners name:
- Silent backup failures discovered too late. A backup that quietly stopped succeeding is invisible until a client needs a restore - the worst possible moment to find out.
- No fleet-wide view. Each client's backup state lives in its own portal view; there is no single screen that says "across my whole book, here's what's stale, failing, or in-flight right now."
- Alert-queue noise buries the real failure. Dozens of repeat and known-safe issues pile up per client; the one that matters hides in the pile.
- Per-client questions mean portal archaeology. Answering "is this client OK?" means clicking through metadata, every backup type, contracts, and issues by hand.
This skill turns per-client portal views into fleet-wide, offline-fast intelligence: attention is one screen across every client; stale-backups finds the Friday-email list and email-draft writes the emails; drift opens Monday with situational awareness instead of a blank slate; triage batch-suppresses known-safe noise (ignore/archive/comment) so the queue shows only what's new; qbr and qbr-all turn quarter-end report-building into one command.
Frequently asked questions
Does this work with ChatGPT?
Yes, in the ChatGPT desktop app. It runs MCP servers locally (STDIO), the way servosity-mcp runs, and shares MCP configuration with Codex (OpenAI): add servosity-mcp under Settings > MCP servers as a STDIO server, or add it once to Codex's ~/.codex/config.toml. ChatGPT on the web is not supported by msp-skills yet: it needs a remote server. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list. Setup steps: 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. Tool-specific gotchas (Copilot uses servers not mcpServers, Cline's Windows npx issue) are documented there.
Do I need to be a Servosity MSP partner?
Yes. The Servosity API surface this skill wraps is the one available to authenticated MSP partners. You'll need a partner API token from the Servosity partner portal. The skill itself is free; the token is part of your Servosity partner agreement. Not a Servosity partner yet? Reach out via servosity.com.
Will this replace my Servosity partner portal?
No. The portal is still where you do administrative work, configure backups, and onboard clients. This skill makes the portal's data answerable by AI - so morning triage, Friday stale-backup reports, drift checks, and ad-hoc cross-client questions don't require portal archaeology. The portal is unchanged; you're adding a new way to ask the data questions.
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 Servosity partner token once.
Is my Servosity / client data safe?
Your data stays on your machine. The CLI and MCP server are local binaries. The fleet 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. The partner token is read from your environment or your agent's config; never bundled into this repo or transmitted anywhere by MSP Skills. The token is scoped to your reseller account only (no cross-reseller access).
Can my agent hear about new Servosity issues?
Yes. Servosity does not send webhooks yet, so servosity-cli issues watch polls your issue list read-only (every 5 minutes by default) and records each new, changed, archived, ignored or reactivated issue as an event. Your agent reads them with servosity-cli events list --since <cursor> or the read-only MCP tool events_list, which costs no Servosity call. Events carry ids and triage fields, never issue text.
Can I run this on Windows?
Yes. The PowerShell installer above is the Windows path. CLI and MCP binaries are native Windows builds.
What does it cost?
Free. Apache-2.0 licensed. Servosity does not charge for the API access required to run this skill - the partner-portal API is part of your existing partner agreement. You pay only for whichever AI agent you use (Claude, ChatGPT, Codex, etc.), billed by your AI provider.
Safety model
The skill authenticates with one partner token, scoped to your reseller account only (no cross-reseller access). Know how writes are gated - the binary does NOT gate them for you: --dry-run is an opt-in preview, and where a command prompts interactively, only an explicit --yes skips the prompt - --agent does not imply --yes. The gate lives in your agent's policy: preview with --dry-run, show the exact command, get approval, then run.
Keep autonomous agents to Read plus previewed writes; gate everything below that behind a human. Full matrix and lock-down guidance in governance.md.
Status
Already used inside Servosity's own backup / DR operations; published here for MSP partners. The public surface is in beta and being validated with MSPs in live 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 and OpenClaw, with metadata.openclaw frontmatter pre-wired so openclaw skills install works directly.
Maintained by Servosity. Apache-2.0 licensed. Built with CLI Printing Press. Last updated: 2026-10-23.
來源:skills/servosity/README.md,提交 8e88535
工具
0版本歷史
10- v0.6.13最新Nov 6, 2026
- v0.6.12Nov 5, 2026
- v0.6.11Oct 24, 2026
- v0.6.10Oct 23, 2026
- v0.6.9Oct 23, 2026
- v0.6.8Oct 22, 2026
- v0.6.7Oct 16, 2026
- v0.6.6Oct 2, 2026
- v0.6.5Sep 29, 2026
- v0.6.4Sep 16, 2026
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