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Policysg MCP Server

@ey023

Repository

Basic information

Category

Other

Transports

stdio

Author

ey023

Submitted by

Esther

About Policysg MCP Server

AI-powered Singapore government policy analysis tool using real-time data integration. Analyzes HDB housing, CPF retirement, Smart Nation initiatives, and healthcare policies with sophisticated scenario comparison and optimization recommendations.

#singapore#policy#government#hdb#cpf#smart-nation#healthcare#analysis#ai#data-integration

Policysg MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "policysg": {
      "command": "node",
      "args": [
        "dist/index.js"
      ],
      "cwd": "/path/to/PolicySG",
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_GITHUB_TOKEN>"
      }
    }
  }
}

Policysg MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Policysg?

Policysg is the first MCP server designed specifically for Singapore government policy analysis. It enables AI assistants to analyze real policies using live open data from data.gov.sg—no API keys required—and covers housing, retirement, healthcare, Smart Nation initiatives, and multi-policy comparisons.

How to use Policysg?

Clone the repository, run npm install, build with npm run build, and start with npm start. The server implements the full MCP protocol and exposes tools like analyze_hdb_housing, calculate_cpf_retirement, and compare_policy_scenarios that can be invoked directly by MCP clients.

Key features of Policysg

  • Live integration with Singapore government open data (data.gov.sg)
  • No API keys needed for public datasets
  • Real-time HDB resale prices and population statistics
  • Monte Carlo simulation for policy outcome projections
  • Multi-dimensional policy comparison framework
  • Production-ready MCP compliance with TypeScript and caching

Use cases of Policysg

  • Analyze HDB resale market trends and affordability for potential homebuyers
  • Project CPF retirement adequacy and optimize contribution strategies
  • Track Singapore’s Smart Nation progress and digital adoption rates
  • Simulate healthcare policy impacts using Medisave and subsidy models
  • Compare multiple policies side-by-side with cost, equity, and feasibility scores

Frequently asked questions

1

Does Policysg require any API keys?

No. Policysg uses public open data from data.gov.sg; no API keys or authentication are required.

2

What policy areas does Policysg cover?

It covers housing (HDB), retirement (CPF), healthcare (3M system), Smart Nation digital government, and economic competitiveness.

3

Is Policysg only for Singapore?

Yes, it is built specifically for Singapore government policy analysis with deep local context, but the framework is designed to be expandable to other countries.

4

What runtime does Policysg need?

Policysg requires Node.js and npm. It is implemented in TypeScript and is built and run via standard Node.js commands.

5

What kind of analysis does Policysg provide?

It offers Monte Carlo simulations, multi-dimensional policy comparisons, natural language explanations, and optimization recommendations with Singapore-specific constraints.

Comments

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