sg-property-mcp

Singapore property prices, land use, and neighborhood amenities via MCP — no API keys needed.

An MCP server for Singapore property research. Works out of the box with zero configuration.

What it does

Tool	Description
search_area	Land use and zoning info near a Singapore address
search_area_by_coords	Same as above, using coordinates directly
search_hdb_resale	Recent HDB resale flat prices by town (2017 onwards)
search_nearby_amenities	Schools, MRT, parks, hawker centres, hospitals within a radius
analyze_results	AI-powered analysis of your last search
export_csv / export_md	Save results to CSV or Markdown files

8 tools. Zero API keys. Just works.

Quick start

Desktop app

Add to your MCP client config:

{
  "mcpServers": {
    "sg-property": {
      "command": "npx",
      "args": ["-y", "sg-property-mcp"]
    }
  }
}

CLI (MCP-compatible)

# Example for CLI tools that support MCP:
npx sg-property-mcp

Manual install

npm install -g sg-property-mcp

Then add to your MCP client config:

{
  "mcpServers": {
    "sg-property": {
      "command": "sg-property-mcp"
    }
  }
}

Example conversations

"What's the land use around Bishan MRT?" → search_area returns zoning types, plot ratios, planning areas

"Show me recent 4-room HDB prices in Tampines" → search_hdb_resale returns transactions with prices, block, storey, lease info

"What amenities are within 500m of 1.3521, 103.8198?" → search_nearby_amenities finds schools, MRT stations, parks, hawker centres with distances

"Analyze the price patterns in those results" → analyze_results provides AI-generated insights on pricing trends

Data sources

All data comes from free, public APIs. No registration or API keys required.

• Land use zoning — (c) Urban Redevelopment Authority
• HDB resale prices — Contains information from data.gov.sg accessed under the Singapore Open Data Licence
• Geocoding & amenities — Data (c) OpenStreetMap contributors

Requirements

• Node.js 20.6 or later
• An MCP-compatible client (any MCP desktop app or CLI)

License

MIT