Policysg

by ey023

291 downloads

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AI

About

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.

Details

Author: ey023
Downloads: 291
Categories: Other, AI

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Policysg

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

PolicySG - Singapore Policy Analysis MCP Server 🇸🇬

The first MCP server specifically designed for Singapore government policy analysis

🎯 What PolicySG Does

PolicySG enables AI assistants to analyze Singapore government policies with real data:

- 🏠 HDB Housing Analysis: Real resale trends, affordability calculations, ethnic integration impacts
- 💰 CPF Retirement Planning: Comprehensive adequacy projections, contribution optimization
- 🏛️ Smart Nation Tracking: Digital government progress, citizen adoption metrics, ROI analysis
- 🏥 Healthcare Policy Simulation: Medisave usage modeling, subsidy impact analysis
- 🔬 Multi-Policy Comparison: Advanced scenario comparison with optimization recommendations

🚀 Key Features

Real Singapore Government Data

- Live integration with data.gov.sg APIs - No API keys required - uses public open data - Real-time HDB resale prices and population statistics - Comprehensive policy template library

Advanced AI Analysis

- Monte Carlo simulation for policy outcomes - Multi-dimensional policy comparison framework - Singapore-specific constraints and opportunities analysis - Natural language policy explanations and recommendations

Production-Ready Architecture

- Full MCP protocol compliance (tools, resources, prompts, sampling) - TypeScript implementation with comprehensive error handling - Intelligent caching system with data versioning - Real-time data subscriptions and updates - Enterprise-grade monitoring and health checks

🔧 Available MCP Tools

`analyze_hdb_housing`

Comprehensive HDB housing market analysis with real-time Singapore government data - Analyzes resale trends, affordability, ethnic integration impacts - Uses live data.gov.sg HDB transaction records - Includes government grants and policy considerations

`calculate_cpf_retirement`

Advanced CPF retirement adequacy calculator with 2024 Singapore parameters - Projects retirement balances using official contribution rates - Analyzes adequacy against Basic Retirement Sum - Provides personalized optimization recommendations

`track_smart_nation`

Singapore Smart Nation progress tracker with comprehensive metrics - Monitors digital government initiatives and adoption rates - International benchmarking against other smart cities - ROI analysis for digital transformation investments

`compare_policy_scenarios`

Multi-policy scenario comparison engine with Singapore evaluation framework - Compares policies across cost, effectiveness, feasibility, equity dimensions - Singapore-specific constraints and opportunity analysis - Generates optimization recommendations and implementation roadmaps

`system_health_check`

Comprehensive system monitoring with data quality assessment - Real-time API connectivity testing - Performance metrics and cache status - Singapore government data freshness indicators

🇸🇬 Singapore Policy Expertise

Deep Local Context

- Multi-racial society considerations (ethnic integration quotas) - Land scarcity constraints and optimization strategies - Trade-dependent economy vulnerability analysis - Aging population demographic transition planning - Government reserves and fiscal sustainability assessment

Policy Areas Covered

- Housing: HDB dominance (80%+ residents), resale market dynamics - Retirement: CPF three-pillar system, adequacy challenges - Digital Government: Smart Nation leadership, citizen adoption - Healthcare: 3M system (Medisave, Medishield, Medifund) - Economic: Competitiveness, innovation, regional positioning

🏆 Innovation Highlights

First-of-Its-Kind

- Only MCP server specifically for government policy analysis - Real-world utility proven through Singapore data integration - Production-ready architecture suitable for government deployment

Technical Excellence

- Complete MCP protocol implementation showcasing all features - Advanced caching and performance optimization - Comprehensive testing and documentation - Singapore timezone and multilingual considerations

Practical Impact

- Usable by Singapore policymakers for evidence-based decisions - Framework expandable to other countries and policy domains - Template for specialized MCP servers in government sector

🚀 Quick Start

Installation

```bash git clone https://github.com/yourusername/policysg-mcp-server cd policysg-mcp-server npm install npm run build npm start

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

PolicySG - Singapore Policy Analysis MCP Server 🇸🇬

🎯 What PolicySG Does

🚀 Key Features

Real Singapore Government Data

Advanced AI Analysis

Production-Ready Architecture

🔧 Available MCP Tools

analyze_hdb_housing

calculate_cpf_retirement

track_smart_nation

compare_policy_scenarios

system_health_check

🇸🇬 Singapore Policy Expertise

Deep Local Context

Policy Areas Covered

🏆 Innovation Highlights

First-of-Its-Kind

Technical Excellence

Practical Impact

🚀 Quick Start

Installation

Install

More like this

Sequential Thinking

Filesystem

EverArt

Google Drive

Context 7

Reactive Resume

`analyze_hdb_housing`

`calculate_cpf_retirement`

`track_smart_nation`

`compare_policy_scenarios`

`system_health_check`