Agent
Discoverability

SingStat MCP

Retrieve Singapore’s official statistics

View in the Claude registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

The SingStat MCP enables AI chatbots to securely query and retrieve official data. You can ask questions in plain language and get answers based on the official data. Ask something like "How has Singapore's resident population changed over the past decade?" or "What's the latest household income data?" The SingStat MCP finds the relevant tables from the SingStat Table Builder, locates the specific data series, and extracts up-to-date data. It can then summarise trends, compare time periods, or help you turn the numbers into charts, reports, or posts. It's useful for researchers, journalists, policy analysts, students and anyone who needs reliable Singapore data but doesn't want to spend time finding it or working out how it's organised. All figures come directly from Singapore’s published official datasets, so you can cite the source with confidence.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
No account required
First tracked
2026-10-05
Tool count
3
Geography
US
Agent DiscoverabilityClaude Discoverability Score

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce SingStat MCP has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

3 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

SingStat MCP Claude Connector FAQ

How the directory, categories and Discoverability Score work.

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How do I improve SingStat MCP's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.