MCP server

SG Property Data Official

com.sgpropertydata/property-data

Checked 25 Oct 2026, 20:29 UTC · Connection failed

Price trends, CAGR, rental yield for Singapore private and HDB property, from URA/HDB records.

Failed last checkVerified publisher: sgpropertydata.com5 tools

https://sgpropertydata.com/mcp/

At a glance

Type: MCP server
Publisher: sgpropertydata.com (verified by the MCP Registry)
Status: Failed last check
Tools: 5
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http property-data https://sgpropertydata.com/mcp/

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.property-data]
url = "https://sgpropertydata.com/mcp/"

Gemini CLI

{"mcpServers":{"property-data":{"httpUrl":"https://sgpropertydata.com/mcp/"}}}

Cursor

{"mcpServers":{"property-data":{"url":"https://sgpropertydata.com/mcp/"}}}

VS Code

{"servers":{"property-data":{"type":"http","url":"https://sgpropertydata.com/mcp/"}}}

Antigravity

agy mcp add property-data https://sgpropertydata.com/mcp/

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"property-data","server_url":"https://sgpropertydata.com/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"property-data","server_url":"https://sgpropertydata.com/mcp/"}

get_data_freshness ~98 tokens
Get metadata about when this dataset was last calculated and what period of sale/rental data it covers. Call this before presenting any number as 'current' - the underlying data is refreshed monthly, not in real time.
get_sample_data ~117 tokens
Get free sample data - real (not synthetic) district and project stats for a small fixed set of examples, in the exact same shape as the paid tools. Use this to verify the data fits your use case before calling the paid tools, which cover the full catalogue of districts and projects.
list_condo_projects ~149 tokens
List condo/apartment projects we track, optionally filtered by district. Free - use this to discover valid project names before calling the paid stats/yield tools, rather than guessing at spelling.
list_hdb_towns ~89 tokens
List every HDB town we track, with the specific flat types available for each. Free - use this to discover valid town names and flat types before calling the paid get_hdb_town_stats tool.
list_landed_projects ~136 tokens
List landed house projects/estates we track, optionally filtered by district. Free - use this to discover valid names before calling the paid stats/yield tools.

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