
TacticalRMM
io.github.shin2344234由 GitHub 账号 shin2344234 发布v1.1.0更新于 Oct 27, 2026
Read your TacticalRMM fleet; run commands only after per-command human approval.
概览
默认只读的 TacticalRMM 桥接服务,让助手查看代理、告警、检查项与日志,并仅在逐条人工批准后执行命令。
- 可以做什么
- 读取机群状态:总览计数、离线与待重启设备、客户、站点、告警、待处理操作与服务器信息
- 查看诊断信息:服务、进程、事件日志、已配置检查、已安装软件、补丁状态、自动化任务及历史命令输出
- 查阅审计与脚本:TRMM 审计日志、服务器调试日志、脚本库与完整脚本源码
- 通过原始 GET 接口访问任意 API 路径
- 执行(仅 elevate 或 command 模式):运行命令与已保存脚本、重启、控制服务、结束进程、网络唤醒、强制检查、运行任务
- 适用场景
- 适合需要以自然语言查询 TacticalRMM 机群状况的运维人员,例如哪些机器离线、什么占用了内存,并可在审批门控下让助手修复问题。
- 运行要求
- 以本地 Python 包(pypi trmm-mcp,stdio)或自建 HTTPS 服务运行。需要 TRMM_API_URL 和只读 TRMM API 密钥 TRMM_READONLY_API_KEY;TRMM_COMMAND_API_KEY 仅在 elevate 或 command 模式下需要。TRMM_MCP_MODE 选择 readonly(默认)、elevate 或 command。通过 HTTPS 连接的客户端还需服务器的 bearer 令牌与证书。
安装
在 SourceWeft 中
- 打开 控制台中的 TacticalRMM,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
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.
来源:README.md,提交 29457f0
工具
0版本历史
1- v1.1.0最新Sep 16, 2026
评分
已满足适用检查项的 50%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
- 近 30 天内可连通25 分
请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。
- 已声明认证方式10 分
请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。
- 已列出工具15 分
请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。
- 描述必需15 分
- 图标10 分
- 文档15 分
- 许可证10 分