Open Census
Turn any AI assistant into your personal Census data expert. Ask questions in plain English, get accurate demographic data with proper interpretation and context.
What is Open Census?
Open Census is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to turn any ai assistant into your personal census data expert. ask questions in plain english, get accurate demographic data with proper interpretation and context.
Turn any AI assistant into your personal Census data expert. Ask questions in plain English, get accurate demographic data with proper interpretation and context.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Turn any AI assistant into your personal Census data expert.
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx open-censusConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Open Census
Open Census MCP Server turns any MCP-compatible AI assistant into a statistical consultant for U.S. Census Bureau data, letting users ask demographic questions in plain English and receive accurate, properly contextualized answers drawn from the American Community Survey (ACS) and other Census data sources. The server applies a pragmatic rules engine that evaluates data fitness — checking margin-of-error thresholds, coverage bias, temporal validity, and source selection — so that answers come with the methodological caveats a professional demographer would apply. It is especially useful for journalists, civic leaders, nonprofit analysts, and researchers who need reliable demographic insights without learning Census API query syntax.
Prerequisites
- Python 3.10 or later
- A U.S. Census Bureau API key (free, register at https://api.census.gov/data/key_signup.html)
- An MCP-compatible client such as Claude Desktop
- pip and a virtual environment for isolating Python dependencies
Clone the repository
Clone the Open Census MCP server from GitHub and enter the project directory.
git clone https://github.com/brockwebb/open-census-mcp-server.git
cd open-census-mcp-serverCreate a virtual environment and install dependencies
Set up an isolated Python environment and install the project's dependencies from pyproject.toml.
python3 -m venv venv
source venv/bin/activate
pip install -e .Obtain a Census Bureau API key
Register for a free API key at https://api.census.gov/data/key_signup.html. You will receive it by email within a few minutes. Set it as an environment variable.
export CENSUS_API_KEY=your_census_api_key_hereAdd the server to your MCP client configuration
Edit claude_desktop_config.json to register the Open Census server, passing the Census API key through the environment.
Restart Claude Desktop and ask a demographic question
Restart the client. Ask a plain English Census question — the server routes your query to the correct ACS table, applies margin-of-error checks, and returns the result with interpretation context.
Open Census Examples
Client configuration
Claude Desktop configuration pointing to the Open Census MCP server installed from source. Adjust the Python path to your virtual environment.
{
"mcpServers": {
"open-census": {
"command": "/path/to/open-census-mcp-server/venv/bin/python3",
"args": ["-m", "open_census_mcp"],
"env": {
"CENSUS_API_KEY": "your_census_api_key_here"
}
}
}
}Prompts to try
Ask demographic questions in plain English — the server selects the right ACS table and applies statistical guardrails automatically.
- "What is the median household income in Austin, Texas?"
- "What percentage of residents in Brooklyn, NY speak a language other than English at home?"
- "Compare the poverty rate between Detroit and Cleveland using the most recent 5-year ACS."
- "What is the educational attainment breakdown for adults in rural Appalachia?"
- "How has the foreign-born population of Miami-Dade County changed over the last decade?"Troubleshooting Open Census
Census API returns a 429 rate limit error
The free Census API key allows 500 requests per day per IP. The ACS data is available in 1-year and 5-year estimates — prefer 5-year estimates for small geographies (census tracts, small cities) since 1-year estimates may not be available for them and have higher margins of error.
Server starts but returns 'data not available for this geography'
Some ACS variables are only published for geographies with populations above 65,000 in the 1-year survey. Switch to 5-year ACS estimates, which cover all census tracts and block groups. Try rephrasing your question to specify '5-year ACS' if the server doesn't automatically fall back.
Module not found errors on startup
Ensure you activated the virtual environment ('source venv/bin/activate') before installing, and that the python3 path in your MCP config points to the venv binary, not the system Python.
Frequently Asked Questions about Open Census
What is Open Census?
Open Census is a Model Context Protocol (MCP) server that turn any ai assistant into your personal census data expert. ask questions in plain english, get accurate demographic data with proper interpretation and context. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Open Census?
Follow the installation instructions on the Open Census GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Open Census?
Open Census works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Open Census free to use?
Yes, Open Census is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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