Liongard MCP Server

An MCP (Model Context Protocol) server for interacting with the Liongard platform. Provides AI assistants with tools to manage inspectors, systems, metrics, alerts, users, and more through Liongard's API.

One-Click Deployment

Related MCP server: ninjaone-mcp

Features

• Decision-tree tool architecture — starts with a navigation tool, then exposes domain-specific tools on demand

• 25 tools across inspectors, systems, metrics, alerts, users, groups, environments, and integrations

• Interactive detection card via MCP Apps (SEP-1865): liongard_detections_get renders as a read-only card in MCP Apps hosts (Claude Desktop/web) with severity/status badges and server-resolved system/environment names — neutral by default, brandable via window.__BRAND__ injection or MCP_BRAND_* env vars (MCP_BRAND_NAME, MCP_BRAND_LOGO_URL, MCP_BRAND_PRIMARY_COLOR, MCP_BRAND_ACCENT_COLOR, MCP_BRAND_BG, MCP_BRAND_TEXT), no rebuild needed

• Dual API version support (v1 and v2)

• 128 tests

Installation

This project depends on @wyre-technology/node-liongard, published to the GitHub Packages npm registry, which requires a token even for public packages. Authenticate once, then install:

# Authenticate npm to GitHub Packages (token needs the read:packages scope)
export NODE_AUTH_TOKEN=$(gh auth token)   # or a PAT with read:packages

npm install

The repo's .npmrc already points the @wyre-technology scope at GitHub Packages and reads the token from NODE_AUTH_TOKEN, so no further config is needed.

Configuration

Set the following environment variables:

Usage

npm start

Development

npm run build       # Build the project
npm run test        # Run tests
npm run lint        # Run linter
npm run typecheck   # Type-check

License

Apache-2.0