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MCP Census

@aaronbrezel

Repository

Basic information

Category

Other

License

GPL-3.0 license

Transports

stdio

Author

aaronbrezel

About MCP Census

Proof of concept for an MCP Server delivering Census Bureau data for AI Agent interoperability

MCP Census config

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

{
  "mcpServers": {
    "mcp-census": {
      "command": "uv",
      "args": [
        "run",
        "python",
        "mcp_server/app.py"
      ]
    }
  }
}

MCP Census 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 mcp-census?

mcp-census is a proof of concept for an MCP (Model Context Protocol) server that delivers Census Bureau 2020 decennial data for AI Agent interoperability. It is intended for developers building AI agents that need to access U.S. census data via the MCP protocol.

How to use mcp-census?

The server requires two API keys: CENSUS_API_KEY (request at https://api.census.gov/data/key_signup.html) and GEMINI_API_KEY (request at https://ai.google.dev/gemini-api/docs/api-key). To run the MCP server, execute uv run python mcp_server/app.py. An accompanying agent can be run with uv run python app.py.

Key features of mcp-census

  • Delivers 2020 decennial Census Bureau data
  • Integrates with Gemini API for AI agent capabilities
  • Uses the Model Context Protocol (MCP)
  • Includes a sample agent for proof-of-concept use
  • Operates with the uv Python package manager

Use cases of mcp-census

  • AI agents querying U.S. 2020 census data via natural language
  • Prototyping MCP-based interoperability between census data and AI models
  • Demonstrating how to connect government statistical data to conversational agents

Frequently asked questions

1

What API keys are required?

You need a Census API key and a Gemini API key. Sign up at the links provided in the README.

2

How do I start the MCP server?

Run `uv run python mcp_server/app.py` in your terminal.

3

Is mcp-census ready for production?

No, it is a proof of concept, not a production-grade service.

4

What data does the server serve?

It serves Census Bureau 2020 decennial data. No other datasets are mentioned.

5

What runtime does mcp-census require?

It uses Python and the `uv` package manager for execution.

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