Datto RMM MCP

Datto 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 Datto RMM API. Not affiliated with, endorsed by, or sponsored by Datto, Inc.

[Datto RMM demo - animated preview]

_{▶ Watch the 30-second demo - demo data is simulated; every command shown exists in the real CLI.}

Every Datto RMM API operation, plus a local SQLite fleet store and fleet-wide analytics no other Datto tool has. 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

Security note (until this connector is reprinted). Do not run HTTP mode (--transport http), not even on localhost. This build has no password, listens on every network interface, and predates the browser-rebinding guard, so a web page you open can reach it. The MCP tools can also make changes with your credentials. Use the default stdio transport. If you set up a tunnel for a remote agent, shut it down. A fix is on the way.

The six agents MSP owners actually use (self-serve, works today):

The ChatGPT desktop app runs datto-rmm-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote (HTTP) server, and this connector's HTTP mode is paused until it is reprinted (see the security note in mcp-install.md), so msp-skills does not support it 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.md directly 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 .mcpb launches on macOS (Intel and Apple Silicon), Windows x64 and Linux x64. Every tool shells out to the companion datto-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 set DATTO_RMM_CLI_PATH to an existing binary). Details: #331.

Download Datto RMM MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Datto RMM release on the releases page.)

Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:

/plugin marketplace add Servosity/msp-skills/plugin install datto-rmm@msp-skills

Path A - paste one prompt into your AI agent (recommended)

Copy this into Claude Code, Codex CLI, or Claude Cowork:

Install the Datto 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/datto-rmm/install.sh). If it uses Windows PowerShell, run iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/datto-rmm/install.ps1 | iex. Then authenticate per the README and run datto-rmm-cli --help to explore.

The same prompt works in any agent that can run shell.

Path B - run the installer yourself

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/datto-rmm/install.ps1 | iex

macOS / Linux:

bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/datto-rmm/install.sh)

The installer drops both datto-rmm-cli (the CLI) and datto-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:

datto-rmm-cli --version

Upgrade to the latest version

The installer always fetches the current release - re-run it to upgrade:

macOS / Linux:

bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/datto-rmm/install.sh)

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/datto-rmm/install.ps1 | iex

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 datto-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:

hermes skills install servosity/msp-skills/skills/datto-rmm --force

Inside a Hermes chat session:

/skills install servosity/msp-skills/skills/datto-rmm --force

Hermes speaks MCP natively, so it can also use the datto-rmm-mcp server directly - same install path, same env vars.

Install for OpenClaw

Tell your OpenClaw agent (copy this):

Install the datto-rmm skill from https://github.com/servosity/msp-skills/tree/main/skills/datto-rmm. The skill defines how its required CLI (datto-rmm-cli) can be installed via the openclaw: frontmatter block.

OpenClaw isn't generally available yet; the frontmatter wiring is pre-shipped and will activate the moment OpenClaw launches.

Authenticate

Set the credentials the CLI needs (from your Datto RMM portal):

DATTO_RMM_API_KEY=<value> DATTO_RMM_API_SECRET_KEY=<value> datto-rmm-cli doctor

The API key and secret key come from Setup > Users in your Datto RMM portal (the OAuth API user). A pre-minted bearer token is optional - set DATTO_RMM_TOKEN only if you want to skip the auto-mint. doctor confirms the 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 Datto 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 endpoints across all 40 clients are missing antivirus or about to drop out of warranty this quarter.

This skill syncs Datto 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 scorecard, fleet storms, and fleet sprawl join across sites, devices, alerts, audit, and warranty data - work a stateless API wrapper can't do.

The pain this closes

Datto RMM is built around a per-customer view. That's fine until you have to answer a question that spans the whole fleet - and those are the questions that matter to an MSP owner: which endpoints stopped reporting, where antivirus is off, who's behind on patches, whose hardware warranty is about to lapse. On r/msp the recurring Datto RMM complaints are exactly this shape - alert noise that buries real failures, and reporting that makes you click through site by site because there's no clean cross-client rollup. So dead agents, unprotected endpoints, and expiring warranties get discovered late, often when the customer calls.

This skill turns those into a 10-second sweep:

• datto-rmm-cli fleet stale --days 30 - every device fleet-wide that stopped checking in.
• datto-rmm-cli fleet av-gaps --status not-running - every endpoint with antivirus off.
• datto-rmm-cli fleet patch-gaps --min-missing 5 - the most patch-exposed endpoints first.
• datto-rmm-cli fleet warranty --within 60 - hardware about to fall out of warranty, ready for a QBR.
• datto-rmm-cli fleet scorecard "Acme Corporation" - a one-page client health card for the QBR.
• datto-rmm-cli fleet udf udf7 - one device user-defined field across every synced site: each value with its device and site counts, and how many devices leave it empty.

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 datto-rmm-mcp runs, and shares MCP configuration with Codex (OpenAI): add datto-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 (HTTP) server, and this connector's HTTP mode is paused until it is reprinted; the security note in mcp-install.md explains why. 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 Datto RMM credentials once.

Is my Datto 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.

Will this hit my Datto RMM API rate limits?

It's gentle by design. The skill syncs your fleet into a local mirror once, then answers fleet-wide questions from that mirror instead of calling the API per question. You re-sync on your own cadence; everyday analytics run offline against the local store.

Do I need to be a Datto partner or have special permissions?

You need an API key and secret key from Setup > Users in your Datto RMM portal (the OAuth API user). The skill can only do what that API user is allowed to do, so scope the user to the access your workflow actually needs.

Will this replace my Datto RMM portal?

No - it complements it. You still use the console for remote control, policy, and component authoring. This skill answers the cross-client read questions and scripts the bulk reads/writes the web UI makes tedious.

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

The strongest control is the scope you grant the Datto 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 Datto 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.