LUSTAT Wages — Remote MCP Server (Railway)

Remote MCP server for LUSTAT DF_C1217: monthly average wages by NACE sector and education level (Luxembourg / STATEC).

Deploy to Railway — Step by Step

1. Create a GitHub repository

git init
git add .
git commit -m "Initial commit"
# Create a new repo on github.com, then:
git remote add origin https://github.com/YOUR_USERNAME/lustat-mcp.git
git push -u origin main

2. Deploy on Railway

1. Go to https://railway.app and sign in (free account)

2. Click New Project → Deploy from GitHub repo

3. Select your lustat-mcp repository

4. Railway auto-detects Node.js and deploys automatically

3. Set environment variables

In Railway dashboard → your project → Variables, add:

4. Get your public URL

In Railway dashboard → your project → Settings → Domains, click Generate Domain. You get a URL like:

https://lustat-mcp-production.up.railway.app

5. Test the deployment

# Health check (no auth needed)
curl https://lustat-mcp-production.up.railway.app/health

# Expected response:
# {"status":"ok","service":"lustat-mcp","dataset":"DF_C1217"}

Connect Claude Desktop to your remote MCP

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "lustat-wages": {
      "url": "https://lustat-mcp-production.up.railway.app/mcp",
      "headers": {
        "x-api-key": "YOUR_MCP_API_KEY"
      }
    }
  }
}

Restart Claude Desktop. The LUSTAT tools are now available to anyone you share the URL and API key with — no local installation needed.

Available Tools

Example prompts in Claude

• "Which sector pays the most in Luxembourg in 2022?"

• "Show me wage trends in finance from 2010 to 2023"

• "How much does a university degree affect wages in construction?"

• "Compare wages across education levels overall"

NACE Sector Codes

Education Codes

Data Source

• Provider: STATEC Luxembourg

• API: https://lustat.statec.lu/rest/ (SDMX 2.1)

• Dataflow: DF_C1217

• Frequency: Annual

• Coverage: 2010 – present

• Unit: Monthly average gross wages, EUR