
Tactical RMM MCP
io.github.Servosity由 GitHub 账号 Servosity 发布v0.1.8更新于 Nov 7, 2026
Every Tactical RMM endpoint as a typed command, plus an offline SQLite mirror and cross-entity
概览
非官方的 MCP 服务器与命令行工具,把自托管的 Tactical RMM API 封装为类型化命令,并提供本地 SQLite 镜像用于跨客户机群查询。
- 可以做什么
- 查询机群健康度、待处理事项、补丁状况、失联代理、监控覆盖缺口和近期变更
- 搜索并读取代理、客户、站点、检查项、告警、脚本、软件与服务记录
- 创建和更新常规配置,如客户、站点、检查项、告警模板、脚本、策略和自动任务
- 在筛选出的终端集合上执行命令与脚本、重启或唤醒机器、安装 Windows 更新
- 管理 API 密钥、用户、角色、会话等凭据与身份设置
- 将 Tactical RMM 数据同步到带全文检索的本地 SQLite 镜像,支持离线聚合查询
- 适用场景
- 适合运行自托管 Tactical RMM 的 MSP 运维人员和管理员,希望让助手回答网页界面只能逐个代理或客户查看的机群级问题,并预览或执行常规配置与终端操作。
- 运行要求
- 以 stdio 本地进程运行(仅桌面端,不支持网页执行),并调用配套的命令行程序。需要设置 TACTICAL_RMM_BASE_URL 指向你的 api.* 主机,以及来自实例 API 密钥设置的 TRMM_API_KEY。可选:使用 http 传输时的 TACTICAL_RMM_MCP_HTTP_TOKEN,以及 TACTICAL_RMM_MCP_READ_ONLY、TACTICAL_RMM_NO_LOCAL_DATA、TACTICAL_RMM_USER_AGENT、PRINTING_PRESS_CLIENT_PROFILE。
安装
在 SourceWeft 中
- 打开 控制台中的 Tactical RMM 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
Tactical RMM + AI - for Claude, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, and any agent that speaks MCP
Unofficial. Community-built Claude Code Skill and MCP server for the Tactical RMM API. Not affiliated with, endorsed by, or sponsored by AmidaWare LLC.
[Tactical RMM demo - animated preview]
▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.
Every Tactical RMM endpoint as a typed command, plus an offline SQLite mirror and cross-entity fleet queries the web UI can't express. 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.
Works with your agent
The six agents MSP owners actually use (self-serve, works today):
The ChatGPT desktop app runs tactical-rmm-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.
Also for the Microsoft and Google stacks
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.
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
Claude Desktop bundle: the
.mcpblaunches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companiontactical-rmm-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 setTACTICAL_RMM_CLI_PATHto an existing binary). Details: #331.
Download Tactical RMM MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Tactical RMM 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 Tactical RMM 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/tactical-rmm/install.sh). If it uses Windows PowerShell, runiwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/tactical-rmm/install.ps1 | iex. Then authenticate per the README and runtactical-rmm-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 tactical-rmm-cli (the CLI) and tactical-rmm-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 tactical-rmm@msp-skills.
Add to Claude Desktop, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, 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 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.
Install for Hermes
From the Hermes CLI:
Inside a Hermes chat session:
Hermes speaks MCP natively, so it can also use the tactical-rmm-mcp server directly - same install path, same env vars.
Install for OpenClaw
Tell your OpenClaw agent (copy this):
Install the tactical-rmm skill from https://github.com/servosity/msp-skills/tree/main/skills/tactical-rmm. The skill defines how its required CLI (
tactical-rmm-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
Tactical RMM is self-hosted, so point the CLI at your instance and give it an API key from Settings > Global Settings > API Keys:
doctor confirms the base URL and 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.
What this skill does
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 Tactical RMM 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 "how many of my 40 clients have machines pending a reboot tonight, across every site" and the answer would page through every endpoint on your server.
This skill syncs Tactical RMM 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 fleet health, triage, and clients scorecard join across agents, checks, alerts, and Windows-update state per client and site - work a stateless API wrapper can't do.
The pain this closes
Tactical RMM is the budget-friendly, self-hosted favorite on r/msp and in the MSPGeek community - you own the data and pay nothing per endpoint. The recurring gripe is reporting: the web UI shows you one agent or one client at a time, with no built-in fleet-wide view of health, patch posture, or "what changed overnight" across every client. Everything is in the API, but a cross-client rollup means scripting against it yourself - so the questions that matter at a Monday stand-up or a QBR go unanswered.
This skill closes that gap:
fleet health- whole-fleet posture (online/offline/overdue, failing checks, pending reboots, outstanding patches, active alerts) in one command.triage --limit 20- the agents that need attention first, ranked across offline state, failing checks, reboots, and patches.patch posture --by client- pending Windows updates and reboots rolled up per client, or per site within its client, before patch night.since "2h"- what moved across the fleet since you last looked: new alerts, newly-offline agents.agents bulk-run --command whoami --filter "os=windows,online=true"- fan a command across a filtered cohort, previewed by default and run only with--execute.
See pain-point.md for the longer narrative.
Frequently asked questions
Does this work with ChatGPT?
Yes, in the ChatGPT desktop app. It runs MCP servers locally (STDIO), the way tactical-rmm-mcp runs, and shares MCP configuration with Codex (OpenAI): add tactical-rmm-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.
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 Tactical RMM credentials once.
Is my Tactical RMM 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.
It's self-hosted - how does it find my server?
You point it at your own instance: set TACTICAL_RMM_BASE_URL to your Tactical RMM API URL (for example https://api.yourdomain.com) and TRMM_API_KEY to a key from Settings > Global Settings > API Keys. Both are set once; nothing is hard-coded to a vendor cloud.
Do I need to be a Tactical RMM customer or partner?
No. Tactical RMM is free and open source, and you self-host it. You only need an API key on your own instance; any Tactical RMM server with API access works.
Will this hit my server's rate limits?
Rarely. Most questions run against the local SQLite mirror after a one-time sync, so they make zero API calls. The few commands that fan out live (like services down, actions pending, checks worst and checks flapping --snapshot) are paced and capped with --max-scan-agents.
Will this replace my Tactical RMM web UI?
No - it complements it. The UI stays your system of record and remote-access console; this skill adds the cross-client query-and-automation layer it doesn't offer.
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
Tactical RMM is a remote-control plane: beyond reading and editing config, it can run scripts on endpoints, reboot machines, install Windows updates, and manage credentials. The tiers below reflect that. The safe default for an autonomous agent is reads plus previewed writes; require a human for anything that runs on an endpoint, deletes, or touches credentials.
The strongest control is the scope you grant the Tactical RMM 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 Tactical RMM 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: 2026-06-06.
来源:skills/tactical-rmm/README.md,提交 62ab9f0
工具
0版本历史
6- v0.1.8最新Nov 7, 2026
- v0.1.7Oct 23, 2026
- v0.1.6Oct 23, 2026
- v0.1.5Oct 22, 2026
- v0.1.4Oct 16, 2026
- v0.1.3Sep 16, 2026
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