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Mcp Compare Zipcodes
What is Mcp Compare Zipcodes
mcp-compare-zipcodes is a FastMCP-compatible Model Context Protocol (MCP) server designed for comparing demographic distributions at the zipcode level. It utilizes z-score analysis to detect statistically significant differences in population segments based on age, gender, and ethnicity between two ZIP Code Tabulation Areas (ZCTAs).
Use cases
Use cases include comparing demographic statistics of different neighborhoods for targeted marketing, assessing population changes for public policy decisions, and analyzing demographic trends for academic research.
How to use
To use mcp-compare-zipcodes, clone the repository from GitHub, set up the environment using the provided commands, and run the server. You can then use the ‘compare_regions’ tool to analyze demographic differences between two ZIP codes by providing them as input.
Key features
Key features include the ability to compare zip code demographics based on age, gender, and ethnicity using Z-score based anomaly detection, and integration with synthetic population and household census data via .pkl files from AgentTorch.
Where to use
mcp-compare-zipcodes can be used in various fields such as urban planning, market research, public health analysis, and social science research where understanding demographic differences is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Compare Zipcodes
mcp-compare-zipcodes is a FastMCP-compatible Model Context Protocol (MCP) server designed for comparing demographic distributions at the zipcode level. It utilizes z-score analysis to detect statistically significant differences in population segments based on age, gender, and ethnicity between two ZIP Code Tabulation Areas (ZCTAs).
Use cases
Use cases include comparing demographic statistics of different neighborhoods for targeted marketing, assessing population changes for public policy decisions, and analyzing demographic trends for academic research.
How to use
To use mcp-compare-zipcodes, clone the repository from GitHub, set up the environment using the provided commands, and run the server. You can then use the ‘compare_regions’ tool to analyze demographic differences between two ZIP codes by providing them as input.
Key features
Key features include the ability to compare zip code demographics based on age, gender, and ethnicity using Z-score based anomaly detection, and integration with synthetic population and household census data via .pkl files from AgentTorch.
Where to use
mcp-compare-zipcodes can be used in various fields such as urban planning, market research, public health analysis, and social science research where understanding demographic differences is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Compare-Zipcodes MCP Server
A FastMCP-compatible Model Context Protocol (MCP) server for comparing zipcode-level demographic distributions. It includes a tool for detecting statistically significant differences in population segments—based on age, gender, and ethnicity—between two ZIP Code Tabulation Areas (ZCTAs), using z-score analysis over synthetic census data.
This repository also includes instructions on how to integrate the MCP server with Claude Desktop.
Features
- Compares zip code demographics based on
agexgenderxethnicityusing Z-score based anomaly detection - Synthetic population and household census data integration via
.pklfiles generated from AgentTorch
Installation
git clone https://github.com/anna8murphy/mcp-compare-zipcodes.git
cd mcp-compare-zipcodes
# install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# set up environment
uv venv
source .venv/bin/activate
uv add "mcp[cli]" httpx
Start the server
Run the server:
uv run compare-zipcodes.py
Running the server will make the compare_regions tool available, which returns a summary of statistically significant demographic differences (z-score > 2) between two ZIP codes based on age, gender, and ethnicity groupings.
Usage on Claude Desktop
Open the Claude for Desktop App configuration in a text editor:
~/Library/Application\ Support/Claude/claude_desktop_config.json
Add the server:
{
"mcpServers": {
"mcp-compare-zipcodes": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/mcp-compare-zipcodes",
"run",
"compare-zipcodes.py"
]
}
}
}
Example Prompt: Compare the demographic statistics of the following zipcodes: 02139 and 10036.
Project Structure
mcp-compare-zipcodes/ ├── README.md # documentation ├── compare-zipcodes.py # main script for Claude integration ├── server.py # MCP server implementation ├── pyproject.toml # Python project configuration └── uv.lock # uv package manager lock file
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










