
TacticalRMM
io.github.shin2344234由 GitHub 帳號 shin2344234 發布v1.1.0更新於 Oct 27, 2026
Read your TacticalRMM fleet; run commands only after per-command human approval.
概覽
預設唯讀的 TacticalRMM 橋接服務,讓助理檢視代理、告警、檢查項目與日誌,並僅在逐筆人工核准後執行指令。
- 可以做什麼
- 讀取機群狀態:總覽計數、離線與待重啟裝置、客戶、站點、告警、待處理動作與伺服器資訊
- 檢視診斷資訊:服務、行程、事件日誌、已設定檢查、已安裝軟體、修補狀態、自動化工作及歷史指令輸出
- 查閱稽核與腳本:TRMM 稽核日誌、伺服器偵錯日誌、腳本庫與完整腳本原始碼
- 透過原始 GET 介面存取任意 API 路徑
- 執行(僅 elevate 或 command 模式):執行指令與已儲存腳本、重新開機、控制服務、結束行程、網路喚醒、強制檢查、執行工作
- 適用情境
- 適合需要以自然語言查詢 TacticalRMM 機群狀況的維運人員,例如哪些機器離線、什麼佔用了記憶體,並可在核准閘門下讓助理修復問題。
- 執行需求
- 以本機 Python 套件(pypi trmm-mcp,stdio)或自架 HTTPS 服務執行。需要 TRMM_API_URL 與唯讀 TRMM API 金鑰 TRMM_READONLY_API_KEY;TRMM_COMMAND_API_KEY 僅在 elevate 或 command 模式需要。TRMM_MCP_MODE 選擇 readonly(預設)、elevate 或 command。透過 HTTPS 連線的用戶端還需伺服器的 bearer 權杖與憑證。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 TacticalRMM,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
TacticalRMM MCP server
Lets an AI assistant read everything in your TacticalRMM install, and — when you explicitly switch it on — run commands on your managed machines.
Ask "which machines are offline and why", "what's eating memory on the front
desk PC", "show me every failed check this week", and get answers from live
fleet data. Turn on elevate mode and the assistant can also fix things, but
only after you approve each action yourself.
Why I built it
I manage machines for a number of clients, and TacticalRMM already collects far more about each one than anyone has time to sit and read. I wanted to actually use that data: run deeper diagnostics than the dashboard puts in front of you, produce per-client reports covering every device, and find the things worth fixing before someone rings up to report them.
It does grow billable work, and I think that is fine as long as the work is real. A disk throwing early SMART errors, a server quietly filling up, patches that stopped applying three months ago and nobody noticed — catching those is worth paying for. Billing for busywork is not. The test I hold this to is whether every item on a report is something the client can see the sense in fixing once it has been explained to them.
What you get
28 tools. 20 read-only ones covering agents, checks, alerts, services, processes, event logs, software inventory, patches, scripts and audit history; 8 execution tools for running commands and scripts, rebooting, controlling services, killing processes, and waking machines.
A full audit trail of everything. Every inbound request, every tool call with its arguments, every result, every TRMM API call, every approval decision and every refusal is written to a structured JSONL log with credential redaction and rotation. For a bridge that can run commands as SYSTEM across a fleet, knowing exactly who asked for what and when is not optional — so it is on by default and cannot be silently skipped. Details in Audit logging.
An approval gate the model cannot reach. In elevate mode an execution is
refused until you approve that exact call in a browser (password + TOTP) or
from a shell on the server. Approvals are bound to a fingerprint of the
arguments, are single-use, and expire. No tool exists that grants elevation.
Read-only that actually holds. Three independent layers: the execution tools are never registered, the HTTP client refuses non-read requests, and the API key itself is bound to a TRMM role with no execution permissions.
Built for real fleets. TRMM has no pagination and returns whole tables — one agent detail call measured 192 KB here. Responses are projected, capped and truncated with an explicit notice, so a single call cannot swallow the model's context.
HTTPS with bearer auth, a self-signed certificate carrying an IP SAN, and a hardened systemd unit. Clients trust that one certificate rather than skipping verification.
Works with Claude Code, Claude Desktop and LM Studio on macOS, Windows and Linux. Built and verified against TRMM 1.5.1. The TRMM API itself is documented independently in docs/trmm-api.md.
Three modes
elevate is the one to use for interactive work: Claude can look at anything,
but the moment it wants to do something it stops and waits for you.
Security
The short version:
- The approval gate is out of band. In
elevatemode an execution is refused until you approve that exact call in a browser (password + TOTP) or from a shell on the server. Approvals are bound to a fingerprint of the arguments, are single-use, and expire. No tool exists that grants elevation, so the model has no route to its own approval. - Read-only holds at three independent layers. The execution tools are never registered, the HTTP client refuses non-read requests, and the API key itself is bound to a TRMM role with no execution permissions.
- Destructive patterns are refused client-side in
commandmode —rm -rf /,mkfs,dd of=/dev/*,format c:and the rest — with an optional agent allowlist to hard-scope what can be touched at all. - HTTPS with bearer auth, a self-signed certificate carrying an IP SAN, and a hardened systemd unit. Clients trust that one certificate rather than skipping verification.
There is one honest caveat about the third read-only layer, because TRMM has no view-only permission for services, processes or Windows updates. That, the approval page's own password + TOTP gate, and why MCP elicitation is not used as the approval channel, are all written up in docs/security.md.
Setup
Already done on this box:
- venv at
venv/withmcp2.0 andhttpx - TRMM roles
MCP Read OnlyandMCP Command, usersmcp-readonlyandmcp-command(both blocked from UI login, unusable passwords) - API keys written to
.env(mode 600)
To re-provision or rotate keys:
Running the server
To reach it from other machines, first tell it which address to serve on. These
go in .env, not in the unit file — the unit is in git, and an address baked in
there would follow every copy of it onto the wrong machine:
Substitute your own address. TRMM_MCP_PUBLIC_URL is what the assistant tells
you to open when something needs approving, so it has to be a URL your browser
can actually reach. Skip this step and the server binds 127.0.0.1, which is
fine if the client runs on the same box.
Then install the unit and start it:
Check what it came up on — the startup line names the address, the mode and whether TLS is on:
It serves HTTPS on port 8770 by default and requires the bearer token from
.env. To run it in the foreground instead, for a quick test:
The listener runs stateless (TRMM_MCP_STATELESS_HTTP=true, the default). This
matters: with stateful streamable HTTP the server hands out a session id that
dies with the process, so restarting the service leaves any connected client
replaying a session the server has forgotten. Through mcp-remote that shows up
as tool calls hanging for minutes and then failing, while tools/list still
answers, with Rejected request with unknown or expired session ID in
logs/server.log. Stateless removes the failure mode; we use no
server-initiated requests, so it costs nothing. restart_test.py proves both
behaviours.
The bearer token is the only authentication on that port, so anything that can reach it inherits this server's TRMM permissions. Keep it on the LAN or behind a tunnel rather than binding a public interface.
Connecting a client
You need two things from the server: the bearer token from .env, and a
copy of certs/cert.pem so the client can verify the TLS certificate.
Claude Code speaks HTTP directly and needs no bridge:
On the server itself you can skip the network entirely and run it over stdio:
Swap readonly for elevate to get the approval gate, or command for
unattended execution.
Claude Desktop needs the mcp-remote bridge, LM Studio speaks remote HTTP
natively, and either can instead be run across SSH with nothing listening on the
network at all. Working configs for all three on macOS, Windows and Linux — plus
installing the certificate into the system trust store — are in
docs/clients.md.
Tools
28 tools: 20 read-only, 8 execution. Anywhere a tool takes an agent you can pass the hostname or the agent_id — hostnames are resolved automatically, and an ambiguous one is rejected rather than guessed.
- Start here —
trmm_fleet_overview: counts, plus the offline, needs-reboot, failing-check and pending-patch lists. - Fleet — agents with status and filters, clients and sites, alerts, pending actions, server info and the active mode.
- Diagnostics — services, processes, event log, configured checks, installed software, patch status, automated tasks, and past command and script runs with their output.
- Audit and scripts — the TRMM audit log, the server debug log, the script library and full script source.
- Escape hatch —
trmm_api_get: a raw GET against any API path. - Execution (
elevateandcommandonly) — run a command, run a saved script, reboot, start/stop/restart a service, kill a process, wake-on-LAN, force checks to run, run an automated task.
Bulk fleet-wide execution, server-side scripts and all config mutation are deliberately not exposed. The full 28-row table, the reasoning behind the omissions, the MCP safety annotations and the context-size handling are in docs/tools.md.
Documentation
Changelog
See CHANGELOG.md.
License
AGPL-3.0-or-later (LICENSE), with per-file SPDX headers. The copyleft terms
mean anyone who runs a modified copy as a network service must publish their
changes — deliberate, to keep execution-capable forks open.
Buy me a coffee
buymeacoffee.com/sethwalker234 if you want to.
來源:README.md,提交 29457f0
工具
0版本歷史
1- v1.1.0最新Sep 16, 2026
評分
已滿足適用檢查項的 50%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分