An offline-first airport lounge catalog providing air-gapped lookup, facilities filtering, and comparison capabilities via Model Context Protocol (MCP).
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lounge-guru-map
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lounge-guru-map using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Lounge Guru Map?
Lounge Guru Map is a secure, local-first tool designed for developer agents using the Model Context Protocol (MCP). As one of the dedicated Openclaw Skills, this offline-only skill enables AI models to search, query, and compare global airport lounge information without needing a live internet connection, API keys, or remote access tokens.
By leveraging a bundled JSON catalog snapshot, it protects user privacy and circumvents network restrictions, making it an ideal choice for highly restricted or air-gapped environments. The catalog is completely program-agnostic, meaning it answers for any lounge present in the dataset rather than limiting information to a single program or network.
Lounge Guru Map Use Cases
- Querying airport lounge locations and availability details in secure, air-gapped, or offline workflows.
- Filtering lounges by amenities such as showers, dining options, Wi-Fi quality, terminal locations, or network affiliations.
- Performing offline comparisons between different lounges within the same airport to find the best option.
- Serving travel-transit itineraries when active internet access is disallowed or restricted.
How Lounge Guru Map Works
- The AI client initializes the local stdio MCP server using standard Node.js runtime commands.
- The server loads the bundled, offline catalog directly from the local file system.
- The agent sends local queries using the structured tools and resources interface defined by the protocol.
- The server searches, filters, and formats the catalog data within a secure, read-only boundary.
- Structured results are returned to the agent without ever making external HTTP or API requests.
Lounge Guru Map Setup
Prerequisites
Ensure that you have Node.js 20+ installed on your system PATH.
Installation
Navigate to the bundle root directory and run the standard package manager setup command to fetch runtime requirements:
npm install
This installs the primary dependencies such as @modelcontextprotocol/sdk and zod dynamically inside your workspace configuration.
Starting the Service
To integrate this setup into your active environment with Openclaw Skills, run the local stdio server using the following script:
node skills/lounge-guru-map/scripts/run-offline-mcp.mjs
Lounge Guru Map Data Schema & Taxonomy
The skill manages its layout locally without relying on dynamic cloud database connections. The workspace organizes data as follows:
| File Path | Purpose | Access Strategy |
|---|---|---|
assets/catalog.json |
The static, pre-packaged global airport lounge database snapshot. | Read-Only Local |
references/mcp.md |
Configuration references and parameters for the stdio runtime endpoints. | Developer Docs |
references/safety.md |
Offline security boundary declarations and data governance policies. | Developer Docs |
references/publishing.md |
Marketplace bundle configuration and packaging details. | Developer Docs |
Lounge Guru Map Advanced Features
- Local stdio MCP Engine: Zero network reliance ensures absolute privacy and compatibility with high-security environments.
- Multi-Network Aggregation: Integrates multi-brand lounge data into a singular, cohesive query model without individual APIs.
- Grounded Guardrails: Engineered to prevent information hallucination by reporting search limits explicitly if data is missing from the local snapshot.
- Standardized Schema Introspection: Exposes structured metadata resources natively within compatible Openclaw Skills runners.
SKILL.md
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