Is Census-MCP-Server affiliated with the U.S. Census Bureau?
No. This is an independent project not officially endorsed by the U.S. Census Bureau. All data comes from publicly available Census Bureau APIs.
@brockwebb
基本情報
概要はまだありません
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": {
"Census-MCP-Server": {
"command": "python",
"args": [
"mcp_server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
Census-MCP-Server is an independent MCP (Model Context Protocol) server that translates natural language questions into proper U.S. Census Bureau API calls, providing domain expertise, statistical context, and error prevention. It currently focuses on American Community Survey (ACS) 5-year estimates and is designed for non-specialists such as journalists, policymakers, and community researchers.
You need an MCP-compatible AI client (e.g., lm-studio, ollama) and Python 3.9–3.12. Clone the repository, install dependencies with pip install -r requirements.txt, and run python mcp_server.py. Implementation is in progress; refer to the project’s Quick Start for future instructions.
No. This is an independent project not officially endorsed by the U.S. Census Bureau. All data comes from publicly available Census Bureau APIs.
The initial scope covers American Community Survey (ACS) 5-year estimates. Future expansion may include other surveys like SIPP, Economic Census, and PEP.
You need a MCP-compatible AI client, Python 3.9–3.12, and the `censusdata` Python package. MCP itself is experimental and subject to breaking changes.
It implements caching, throttling, and exponential back-off. Default limits are ≤10 concurrent connections and roughly 500 requests per day for unauthenticated calls.
No—only published aggregates are returned. Suppression indicators (e.g., `(X)`, `-666666666`) are checked and flagged; no record-level data is served.

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