Level MCP

Level + 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 Level

API. Not affiliated with, endorsed by, or sponsored by Level.

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

Every Level RMM endpoint, plus a local SQLite fleet store and offline cross-entity rollups no Level tool has: at-risk ranking, patch posture, alert triage, and stale-device detection in one command. 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 put this

connector behind the supergateway bridge or any other stdio-to-HTTP bridge,

not even on localhost. The bridge adds no password, so anyone who can reach

its port can use the MCP tools with your credentials. Use the default stdio

transport. If you set up a bridge or 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 levelio-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote (HTTP) server. This connector speaks stdio only, and the bridge it would need 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](../../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 levelio-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 LEVELIO_CLI_PATH to an existing binary). Details: #331.

Download Level MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Level 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 levelio@msp-skills

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

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

Install the Level 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/levelio/install.sh). If it uses Windows PowerShell, run iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/levelio/install.ps1 | iex. Then authenticate per the README and run levelio-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/levelio/install.ps1 | iex

macOS / Linux:

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

The installer drops both levelio-cli (the CLI) and levelio-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.

Verify:

levelio-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/levelio/install.sh)

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/levelio/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 levelio@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](./mcp-install.md) and [docs/which-agent.md](../../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/levelio --force

Inside a Hermes chat session:

/skills install servosity/msp-skills/skills/levelio --force

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

Install for OpenClaw

Tell your OpenClaw agent (copy this):

Install the levelio skill from https://github.com/servosity/msp-skills/tree/main/skills/levelio. The skill defines how its required CLI (levelio-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 Level portal):

LEVEL_API_TOKEN=<value> levelio-cli doctor

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 Level 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 "which of my 600 endpoints across every client need attention first" or "what's each client's patch exposure for the QBR deck."

This skill syncs Level 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 at-risk, client-scorecard, and cf-coverage join across devices, alerts, OS updates, groups, and custom fields - work a stateless API wrapper can't do.

The pain this closes

Level is a fast, modern RMM, but like every RMM its console answers questions one device at a time. The recurring complaint on r/msp isn't monitoring - it's *reporting across the whole fleet at once*: which machines quietly went dark, which clients are furthest behind on patches, where the alert noise is systemic, and what each client's posture is when a QBR is due. There's no single screen for that, so the numbers that matter get assembled by hand, group tab by group tab.

This skill closes that gap with cross-entity rollups:

• `levelio-cli at-risk --top 20` - the worst endpoints across alerts, patches, score, and staleness as one ranked "fix these first" list.
• `levelio-cli stale --days 30` - the machines that quietly stopped checking in, before the client calls.
• `levelio-cli patch-posture --category security` - fleet-wide update exposure (available vs installed vs errored) at a glance.
• `levelio-cli client-scorecard` - one QBR-ready row per client: devices, online %, open criticals, average sco