Sgdata MCP

@altronis/sgdata-mcp

A Singapore government data MCP server. 87 tools — 24 curated datasets + 7 SingStat tables + 6 live real-time feeds, CLI mode, data visualization, cross-dataset queries, natural language queries.

Covering ACRA + HDB + URA + COE + CPI + GDP + employment + IRAS + MAS FX + MOE + ECDA + tourism + retail + population + crime + health + energy + hawkers + air quality + weather + carparks + live dengue.

No API keys. Runs anywhere MCP runs. Full write-up: https://altronis.sg/blog/sgdata-mcp

@altronis/sgdata-mcp is an MCP server that lets Claude, Cursor, Continue, or any other MCP-compatible client query Singapore government open data directly from data.gov.sg — corporate registry, real estate, labour, prices, public services, capital flows, crime, health, demographics, energy, and more.

It runs as a local stdio process on your machine. No hosted backend, no API keys. Small curated datasets cache locally at ~/.sgdata-mcp/sgdata.sqlite; large datasets (ACRA, HDB resale) and real-time feeds query data.gov.sg server-side so they never download a whole dataset onto your disk.

v0.5.5: two helper tools for small-context clients. sg_tool_catalog lists the tools (filter by keyword to get their input schemas) and sg_dispatch calls any of them by name, so a client can expose just these two instead of all 87 schemas. Dispatched calls are checked against the target tool's schema, the same as a direct call.

v0.5.0: 13 new tools + a smaller footprint. Real-time feeds — sg_psi (air quality), sg_weather_forecast, sg_air_temperature, sg_rainfall, sg_carpark_availability, and sg_dengue_clusters (live NEA clusters — current dengue, vs the frozen weekly-bulletin feed). SingStat tables — sg_household_income, sg_wages, sg_deaths, sg_marriages, sg_divorces, sg_trade, sg_labour_force. `sg_search_datasets` now actually searches (data.gov.sg's q param is a no-op upstream, so it filters a cached catalog locally). ACRA + HDB-resale tools query server-side (datastore_search) instead of ingesting the full 56 MB / 23 MB datasets — no more multi-GB local cache. FX tools fixed (upstream metadata endpoint 404s; they now read live data via datastore_search).

⚠️ `sg_acra_formations_by_ssic` is a heavy tool. ACRA's SSIC+year filter

can't be pushed server-side, so it crawls 27 shards with rate-limit backoff —

expect ~1–3 minutes, and for older years the count is a lower bound

(bounded: true). For fast formation counts by SSIC use the SingStat

sg_formations_history / sg_formations_compare / sg_formations_monthly

tools instead.

v0.4.1: sg_dataset_query no longer hangs on very large datasets (size-gated server-side paging via datastore_search + a 60s ingest guard); sg_fx_rate / sg_fx_history now accept ISO currency codes (USD, GBP, JPY, EUR, …); sg_tourism_latest now emits data_freshness (its upstream stops at 2014); and the _history tools return an available label list on a no-match so callers can self-correct.

v0.4.0 highlights: data_freshness metadata block emitted on every _latest tool — last_period, last_record_date, age_days, and a categorical level of fresh / ok / stale / frozen so agents can detect when an upstream data.gov.sg feed has gone silent. Fixes silent stale-data on sg_disease_latest (MOH stopped publishing the Weekly Infectious Disease Bulletin via data.gov.sg around epi week 2022-W52).

v0.3.2: Monthly business formations + cessations + net growth tools via SingStat Table Builder. Track month-by-month company creation vs closure for any SSIC industry. 74 tools total.

v0.3.1: Annual formation counts by industry via SingStat Table Builder.

v0.3.0: 8 new datasets, CLI mode, ASCII sparkline visualization, cross-dataset correlation queries, natural language query routing.

Data freshness

@altronis/sgdata-mcp is only as fresh as data.gov.sg. Some datasets are updated weekly (COE bidding, CPI), some monthly (unemployment, CPI sub-items), some quarterly (URA private property), and some have effectively stopped updating. Starting in v0.4.0 every _latest tool returns a data_freshness block so you can detect drift programmatically:

{

"datasetId": "d_ca168b2cb763640d72c4600a68f9909e", "epi_week": "2022-W52", "cases": [...], "data_freshness": { "last_period": "2022-W52", "last_record_date": "2023-01-01", "age_days": 1234, "level": "frozen", "warning": "Upstream dataset appears frozen — latest record is 2022-W52..." } }

Known frozen datasets (as of v0.4.1):

If you find another upstream feed has gone silent, please open an issue — we'll add it to this table and surface the warning in the tool description.

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What you can ask Claude

Drop this server into Claude Desktop and you immediately unlock questions like:

• *"Find all AI/ML companies (SSIC 62019) incorporated in Singapore in 2025."*
• *"What's the median resale price of 4-room HDB flats in Punggol over the last 6 months?"*
• *"What is the latest COE Category A premium, and how has it trended over 12 months?"*
• *"How many dengue cases were reported this week?"*
• *"What's Singapore's unemployment rate? Show me the trend."*
• *"Compare GDP growth vs crime rates over the last 5 years."*
• *"How many scam cases were recorded in 2024?"*
• *"What is Singapore's population and how fast is it growing?"*
• *"How much electricity did Singapore generate last month?"*
• *"Are birth rates declining? Show me the last 12 months."*
• *"What were Singapore's tourism receipts by component?"*
• *"Find hawker centres near Tampines."*
• *"Which CPI categories are running hottest vs headline inflation?"*
• *"Look up DBS Bank by UEN 196800306E."*

Your model picks the right tool, fills in the filters, and returns structured rows. You never write a URL.

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Quick start

Claude Desktop

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

{

"mcpServers": { "sg-data": { "command": "npx", "args": ["-y", "@altronis/sgdata-mcp"] } } }

Restart Claude Desktop. The 74 sg_* tools appear in the MCP tools menu.

Cursor

Add to ~/.cursor/mcp.json:

{

"mcpServers": { "sg-data": { "command": "npx", "args": ["-y", "@altronis/sgdata-mcp"] } } }

Claude Code

claude mcp add sg-data -- npx -y @altronis/sgdata-mcp

CLI mode (new in v0.3.0)

Query Singapore data directly from the terminal — no MCP client needed:

# Natural language query

npx @altronis/sgdata-mcp query "What is Singapore's unemployment rate?" npx @altronis/sgdata-mcp query "How many dengue cases this week?" npx @altronis/sgdata-mcp query "Latest COE prices"

Call a specific tool

npx @altronis/sgdata-mcp tool sg_crime_compare '{"year":"2024"}' npx @altronis/sgdata-mcp tool sg_hawker_search '{"query":"bedok"}'

List available tools and datasets

npx @altronis/sgdata-mcp list npx @altronis/sgdata-mcp datasets

Standalone (kick the tyres)

# Run the MCP server directly

npx -y @altronis/sgdata-mcp

Smoke-test via stdio

printf '%s\n' \ '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"0"}}}' \ '{"jsonrpc":"2.0","method":"notifications/initialized"}' \ '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \ | npx -y @altronis/sgdata-mcp

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What's in the box

Datasets (24)

Plus 3 generic fallback tools, 1 visualization tool, 2 cross-dataset tools, and 1 natural language query tool: 74 tools. The 6 real-time feeds and 7 SingStat tables from v0.5.0 bring it to 87 data tools, plus the 2 helpers from v0.5.5.

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New in v0.3.0

Data visualization — sg_visualize

Generate ASCII sparkline charts and summary statistics from any time series. Returns sparklines, min/max/mean/latest, period-over-period change, and chart-ready JSON for frontend rendering.

SG Unemployment Rate (SA): ▁█████▄▄████

Latest: 2 % | Change: +0 (+0%) | Range: 1.8–2 | Mean: 1.97

Cross-dataset queries — sg_cross_dataset

Compare any two datasets side-by-side over time. Automatically aligns different time granularities (monthly, quarterly, annual):

{

"dataset_a": "cpi_monthly", "dataset_b": "retail_sales", "limit": 5 }

Returns aligned rows with both values for correlation analysis.

Natural language queries — sg_ask

Ask questions in plain English — the tool routes to the right dataset automatically:

"What is Singapore's unemployment rate?" → sg_unemployment_latest

"How many dengue cases?" → sg_disease_latest "COE prices" → sg_coe_latest "Crime statistics" → sg_crime_latest

CLI mode — no MCP client needed

Query data directly from your terminal:

sgdata-cli query "Singapore population growth"

sgdata-cli tool sg_crime_compare '{"year":"2024"}' sgdata-cli datasets

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Tools (87 + 2 helpers)

The tables below list 74 of them; the 13 added in v0.5.0 are listed at the top.

Meta tools

| sg_list_datasets | List all 24 curat