mcp-census

Name: mcp-census
Author: aaronbrezel

@aaronbrezel

リポジトリ

mcp-census について

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

基本情報

カテゴリ

その他

ライセンス

GPL-3.0 license

ランタイム

python

トランスポート

stdio

公開者

aaronbrezel

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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