@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.

v0.5.0: 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.

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.

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

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. Total: 74 tools.

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