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MCP Census

@aaronbrezel

リポジトリ

基本情報

カテゴリ

その他

ライセンス

GPL-3.0 license

トランスポート

stdio

作者

aaronbrezel

MCP Census について

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

MCP Census の設定

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"
      ]
    }
  }
}

MCP Census のツール

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。

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

よくある質問

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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