🇸🇬 Singapore MCP by Olano

Ask Claude or Codex questions about Singapore property, MRT/LRT, buses, companies, weather, the economy, public services, and official financial reference data.

291 read-only tools · 8 Agent Skills · 7 plugins · stdio and Streamable HTTP

Try it right now, without installing anything. Message @OlanoSGBot on Telegram and ask a Singapore question in plain English. It is free to use and needs no API key. See Try it on Telegram.

Built and maintained in Singapore by Olano — the olano.ai platform for applied AI, and olano.sg, our Singapore AI studio. Singapore MCP is the studio's open contribution to the local AI community, and it is free to use under the MIT licence.

Singapore MCP is an independent community project. It is not affiliated with, endorsed by, or an official product of the Singapore Government or any government agency. “Official” below describes an upstream data source, not this software.

Overview

Singapore MCP is a read-only bridge between an AI client and Singapore's official public data: data.gov.sg, OneMap, LTA DataMall, and SingStat. Every answer keeps its source agency, dataset identifier, observation period, units, and freshness caveats, so you can check the work. Most of it runs with no API key at all.

The monorepo separates provider access, reusable analysis, and user-facing workflows. Install the aggregate server for the complete experience or a focused executable when you only need one provider.

Focused stdio/HTTP executables are available for the aggregate, data.gov.sg, OneMap, LTA, weather, and rail packages. The other packages are reusable registration libraries composed by the aggregate server.

Example questions

Ask these in an MCP client, or use olano-sg examples [category] to browse the packaged prompt catalog. Results depend on upstream coverage and, for a few tools, on the optional keys in Credentials and caching. Not installed yet? Ask a few of these on Telegram first with @OlanoSGBot, or go straight to Quick start.

Companies and ACRA

• “Find the official public ACRA records matching Olano and show the UEN and entity status.”
• “Look up this exact UEN across all ACRA shards; make any match uncertainty explicit.”
• “Compare monthly business formations and cessations, then calculate net formations.”
• “How have formations changed for two SSIC sectors over matched periods?”

HDB and private property

• “Show recent 4-room HDB resale transactions in Bedok and calculate the median and quartiles.”
• “Compare HDB resale price per square metre between Tampines and Jurong East.”
• “Find HDB carparks whose address contains Bishan and group them by carpark type.”
• “Show bounded private-property transaction evidence for a project or district.”
• “Build a property-area brief for Queenstown with OneMap location context.”

The first example is a single MCP operation. hdb_resale_stats applies the exact town and flat-type filters, selects the latest available matching month by default, returns the transaction rows, and calculates the range, median, Q1, Q3, and price per square metre inside the server:

npx -y @olano/sg-cli tool hdb_resale_stats '{"town":"BEDOK","flatType":"4 ROOM"}'

Use latestMonths, startMonth, or endMonth to choose a different period. A direct dataset download is not required. This operation is available in the aggregate server's all and property profiles; it is not part of the focused @olano/mcp-datagov row-reader package.

COE, buses, roads, parking, and taxis

• “What is the latest Category B COE premium, quota, number of bids, and bid-to-quota ratio?”
• “Show the last 12 Category A bidding exercises and changes from the prior premium.”
• “When are the next buses arriving at this bus stop?”
• “List current traffic incidents and nearby traffic-camera images.”
• “Show live LTA carpark availability and taxi availability.”

MRT and LRT

• “What are the MRT/LRT codes and line connections for Paya Lebar?”
• “List every station on the Thomson-East Coast Line.”
• “Which official station exits belong to City Hall?”
• “Find the five nearest rail stations to latitude 1.29027, longitude 103.851959.”
• “Find rail stations near 1 Fullerton Road and state whether distance is straight-line or walking.”
• “List MRT/LRT interchanges and show the date of each bundled source snapshot.”

Weather, PSI, rainfall, and dengue

• “Show the current two-hour forecast for Singapore areas.”
• “What are the latest temperature and rainfall readings by station?”
• “Show the 24-hour forecast, four-day outlook, and latest PSI readings.”
• “Find current dengue-cluster records and include the dataset freshness.”

Education and childcare

• “Find MOE schools matching Nanyang and show the official dataset fields.”
• “Find ECDA childcare centres in an area and summarise any published vacancy fields.”
• “Resolve this address with OneMap before comparing nearby school or childcare records.”

GDP, prices, labour, income, FX, tax, and trade

• “Show the latest GDP growth observations and compare selected industries.”
• “Calculate year-on-year CPI change using the same month, not adjacent months.”
• “Compare retail-sales year-on-year change with CPI over matched monthly periods.”
• “Show median-income history, employment by sector, and calculated employment growth.”
• “Show unemployment and resident labour-force participation history.”
• “Find official MAS exchange-rate observations and preserve each published unit.”
• “Show IRAS tax-collection history and calculate category shares only where units match.”
• “Show Singapore merchandise-trade history from SingStat.”

Tourism, population, health, energy, crime, and hawkers