Does Policysg require any API keys?
No. Policysg uses public open data from data.gov.sg; no API keys or authentication are required.
@ey023
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"policysg": {
"command": "node",
"args": [
"dist/index.js"
],
"cwd": "/path/to/PolicySG",
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_GITHUB_TOKEN>"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
No. Policysg uses public open data from data.gov.sg; no API keys or authentication are required.
It covers housing (HDB), retirement (CPF), healthcare (3M system), Smart Nation digital government, and economic competitiveness.
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.
Policysg requires Node.js and npm. It is implemented in TypeScript and is built and run via standard Node.js commands.
It offers Monte Carlo simulations, multi-dimensional policy comparisons, natural language explanations, and optimization recommendations with Singapore-specific constraints.

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