Liongard MCP

Liongard + 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 Liongard API. Not affiliated with, endorsed by, or sponsored by Liongard, Inc.

[Liongard demo - animated preview]

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

Every Liongard endpoint, plus an offline copy of your whole MSP estate you can join, search, and drift-check from 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

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

The ChatGPT desktop app runs liongard-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote (HTTP) server, which msp-skills does not support yet (see Remote agents in mcp-install.md). 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: these are the remote / enterprise path, not the local binary you just installed.

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 liongard-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 LIONGARD_CLI_PATH to an existing binary). Details: #331.

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

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

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

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

macOS / Linux:

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

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

Verify:

liongard-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/liongard/install.sh)

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/liongard/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 liongard@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/liongard --force

Inside a Hermes chat session:

/skills install servosity/msp-skills/skills/liongard --force

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

Install for OpenClaw

Tell your OpenClaw agent (copy this):

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

LIONGARD_INSTANCE=<your-subdomain> LIONGARD_API_KEY=<value> liongard-cli doctor

• LIONGARD_INSTANCE (required) is your Liongard subdomain - the acme in https://acme.app.liongard.com. It builds the API URL; if you leave it unset the CLI falls back to the placeholder example.app.liongard.com, which will not reach your data, so always set it. (Advanced: set LIONGARD_BASE_URL instead to point at a full custom URL.)

• The credential (required) comes in one of two shapes, and you set exactly one of them. Either LIONGARD_API_KEY, your pre-encoded base64 X-ROAR-API-KEY (the line above), or the pair LIONGARD_ACCESS_KEY_ID + LIONGARD_ACCESS_KEY_SECRET, the two strings Liongard hands you, which the CLI encodes for you:

  bash

  LIONGARD_INSTANCE=<your-subdomain> LIONGARD_ACCESS_KEY_ID=<value> LIONGARD_ACCESS_KEY_SECRET=<value> liongard-cli doctor

  Do not set both shapes: LIONGARD_API_KEY wins whenever it is non-empty and the ID/secret pair is ignored.

• LIONGARD_ENDPOINTS_API_KEY (optional) is only needed for the Liongard Endpoints API surface; leave it unset if you do not use it.

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

Run liongard-cli sync once first - the cross-estate commands below (drift, health, coverage, the stale/offline/failure rollups, metrics pivot) read your local mirror, so until a full sync has finished they refuse and name the exact sync command to run.

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 Liongard 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 "what changed across all 40 clients this week" or "which of my 600 launchpoints went stale" - questions that become dozens of paginated API calls.

This skill syncs Liongard 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 drift, health, and metrics pivot join across environments, systems, launchpoints, agents, and detections in one shot - work a stateless API wrapper can't do.

The pain this closes

Liongard is one of the most data-rich tools in the MSP stack - and one of the hardest to operationalize. The recurring theme in r/msp threads about Liongard is the same: it collects an enormous amount of configuration and change data, but the value is locked behind clicking into one environment at a time. Two pains show up over and over:

• Silent decay. A launchpoint goes stale or an agent drops offline and just stops collecting. Nobody notices until a QBR or an audit needs the data - and the "documentation" has quietly rotted. liongard-cli launchpoints stale and liongard-cli agents offline surface it estate-wide in one command.
• Reporting is manual. One metric across every system, or every failed inspection estate-wide, means clicking environment by environment or a one-off API script. liongard-cli metrics pivot, liongard-cli detections failures, and liongard-cli health answer it in a single line.

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 liongard-mcp runs, and shares MCP configuration with Codex (OpenAI): add liongard-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 hosted over HTTPS (see Remote agents in mcp-install.md). 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 Liongard credentials once.

Is my Liongard 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.

Do I need to be a Liongard customer, and will this hit my API limits?

Yes - you use your own Liongard instance and access keys, so the skill only reaches data your credentials already permit. Because it syncs once into a local mirror and answers most questions from there, it makes far fewer API calls than a per-question live wrapper, which keeps you well clear of rate limits during reporting and QBR prep.

Will this replace my Liongard portal?

No - it complements it. The portal is built for clicking into one environment at a time; this skill answers the cross-estate questions (drift, stale collectors, offline agents, coverage gaps, one metric across every system) in a single command you can pipe into a report or hand to your AI agent.

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 Liongard 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 Liongard API surface. The next step is live validation with MSPs running it 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.