sg-property-mcp
Provides geocoding and amenity data for Singapore properties, enabling location-based searches for schools, MRT stations, parks, hawker centres, and hospitals within specified radii.
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.
Related MCP server: SG Gov MCP Server
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-mcpManual install
npm install -g sg-property-mcpThen add to your MCP client config:
{
"mcpServers": {
"sg-property": {
"command": "sg-property-mcp"
}
}
}Example conversations
"What's the land use around Bishan MRT?" →
search_areareturns zoning types, plot ratios, planning areas
"Show me recent 4-room HDB prices in Tampines" →
search_hdb_resalereturns transactions with prices, block, storey, lease info
"What amenities are within 500m of 1.3521, 103.8198?" →
search_nearby_amenitiesfinds schools, MRT stations, parks, hawker centres with distances
"Analyze the price patterns in those results" →
analyze_resultsprovides 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
Available Tools
8 toolsanalyze_resultsA
Analyze the last search results using AI. Provides insights, patterns, and summaries. Best used after a search returns results — works with land use, HDB resale, and amenity data.
Inputs: question.
export_csvA
Export the last search results to a CSV file. The file must be saved within a directory approved by the client.
Inputs: filePath (required).
export_mdB
Export the last search results to a Markdown file. The file must be saved within a directory approved by the client.
Inputs: filePath (required).
get_attributionsA
Show data source attributions and licences for all data used by this server. Only call this tool when the user explicitly asks about data sources, credits, or attributions.
Inputs: no named parameters.
search_areaA
Search land use and zoning info near a Singapore address. Resolves the address to coordinates, then finds nearby land parcels with zoning details.
Inputs: address (required), radiusMeters.
search_area_by_coordsA
Search land use and zoning info near specific coordinates. Skips geocoding — use when you already have lat/lon.
Inputs: latitude (required), longitude (required), radiusMeters.
search_hdb_resaleA
Search HDB resale flat transactions by town and optional flat type. Data covers 2017 onwards, sorted by most recent. Returns price, floor area, storey, lease, and location details.
Inputs: town (required), flatType, limit.
search_nearby_amenitiesA
Search for nearby amenities (schools, hospitals, clinics, hawker centres, parks, MRT stations, bus stops, supermarkets, pharmacies) around a coordinate in Singapore. Returns results sorted by distance. Requires coordinates — use search_area first to geocode an address if needed.
Inputs: latitude (required), longitude (required), radiusMeters, categories, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 8 tools
Tools are mostly distinct with clear purposes. Export_csv and export_md overlap but differ in format; search_area and search_area_by_coords serve same purpose with different inputs but descriptions clarify. Overall, minimal confusion.
All tool names follow a consistent verb_noun pattern in snake_case, e.g., search_area, export_csv, get_attributions. No deviations or mixed styles.
With 8 tools covering land use, HDB resale, amenities, analysis, exports, and attributions, the scope is well-focused for a property server. Not too many or too few.
Core workflows (search, export, analysis) are covered, but there are notable gaps: no direct property address lookup, no private property transaction data, and no filtering or sorting options. Agents might face dead ends.
Maintenance
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