World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
Beschreibung vom Entwickler (englisches Original)
Read your TacticalRMM fleet; run commands only after per-command human approval.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
TRMM_API_URL, TRMM_READONLY_API_KEY, TRMM_COMMAND_API_KEY, TRMM_MCP_MODEAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"trmm": {
"command": "uvx",
"args": [
"trmm-mcp"
],
"env": {
"TRMM_API_URL": "your-value",
"TRMM_READONLY_API_KEY": "your-value",
"TRMM_COMMAND_API_KEY": "your-value",
"TRMM_MCP_MODE": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add trmm --env TRMM_API_URL=your-value --env TRMM_READONLY_API_KEY=your-value --env TRMM_COMMAND_API_KEY=your-value --env TRMM_MCP_MODE=your-value -- uvx trmm-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"trmm": {
"command": "uvx",
"args": [
"trmm-mcp"
],
"env": {
"TRMM_API_URL": "your-value",
"TRMM_READONLY_API_KEY": "your-value",
"TRMM_COMMAND_API_KEY": "your-value",
"TRMM_MCP_MODE": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"trmm": {
"type": "stdio",
"command": "uvx",
"args": [
"trmm-mcp"
],
"env": {
"TRMM_API_URL": "your-value",
"TRMM_READONLY_API_KEY": "your-value",
"TRMM_COMMAND_API_KEY": "your-value",
"TRMM_MCP_MODE": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
TRMM_MCP_MODE envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Basierend darauf, wie sich dieser Server verbindet, und auf der eigenen Doku jeder App, geprüft am 10. Nov. 2026.
Laufen auf deinem Computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 10. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto shin2344234 bestätigt, dem das Repo gehört
Code zuletzt geändert: vor 2 Monaten
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 2 von 2 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: TRMM_API_URL, TRMM_READONLY_API_KEY, TRMM_COMMAND_API_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt vor 2 Monaten geändert, und die neueste Version (1.1.0) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: World Monitor, Claude Flow, Tldraw
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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.
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.
readonly (default) | elevate | command | |
|---|---|---|---|
| Tools exposed | 20 read tools | 28 | 28 |
| Reads | yes | yes | yes |
| Executions | never | only what you approve, one call at a time | always |
| TRMM key for reads | mcp-readonly | mcp-readonly | mcp-command |
| TRMM key for executions | — | mcp-command, only after approval | mcp-command |
| Good for | pure Q&A | day-to-day chat | unattended automation |
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.
The short version:
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, so the model has no route to its own approval.command mode — 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.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.
Already done on this box:
venv/ with mcp 2.0 and httpxMCP Read Only and MCP Command, users mcp-readonly and mcp-command (both blocked from UI login, unusable passwords).env (mode 600)To re-provision or rotate keys:
/rmm/api/env/bin/python /opt/trmm-mcp/provision_trmm_accounts.py --rotate
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:
cat >> /opt/trmm-mcp/.env <<'EOF'
TRMM_MCP_HTTP_HOST=10.0.0.5 TRMM_MCP_PUBLIC_URL=https://10.0.0.5:8770 EOF
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:
sudo cp /opt/trmm-mcp/trmm-mcp.service /etc/systemd/system/ && sudo systemctl daemon-reload && sudo systemctl enable --now trmm-mcp
Check what it came up on — the startup line names the address, the mode and whether TLS is on:
journalctl -u trmm-mcp -n 5 --no-pager | grep listening
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:
/opt/trmm-mcp/run.sh readonly http
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.
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:
claude mcp add --transport http trmm https://192.0.2.10:8770/mcp \
--header "Authorization: Bearer " --scope user
On the server itself you can skip the network entirely and run it over stdio:
claude mcp add trmm -- /opt/trmm-mcp/run.sh readonly
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.
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.
trmm_fleet_overview: counts, plus the offline, needs-reboot, failing-check and pending-patch lists.trmm_api_get: a raw GET against any API path.elevate and command only) — 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.
| Security | The approval gate, the three read-only layers, TLS, and the honest caveats |
| Installation | pip versus a clone, where it keeps its files, rebuilding the venv |
| Connecting a client | Claude Code, Claude Desktop, LM Studio, SSH, and the certificate |
| Tools | All 28 tools, what is not exposed, annotations, context-size handling |
| Operations | Audit logging, the browser log pages, backups, testing, troubleshooting |
| Configuration | Every environment variable, and what each file in the repo does |
| TRMM API | Independent documentation of the TacticalRMM API itself |
See CHANGELOG.md.
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.
buymeacoffee.com/sethwalker234 if you want to.