queria
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@querialist datasets related to population"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
queria
Query Japanese open data on Queria from the terminal, Python, and MCP.
Queria が公開する日本のオープンデータ(e-Stat、国土数値情報、EDINET、気象庁ほか)を、ターミナル・Python・MCP から read-only で探索するクライアントです。データは DuckLake 形式で公開されており、計算はすべて手元の DuckDB で行われます。
インストール
uvx queria list # インストール不要で実行
pip install queria # または通常インストールPython 3.10+ が必要です。
Related MCP server: estat-mcp
使い方
queria list # データセット一覧
queria search 人口 # データセット・テーブル・カラムの横断検索
queria info e_stat # メタデータ(ライセンス・出典など)
queria schema e_stat # テーブル一覧
queria columns e_stat mart_population # カラム一覧
queria summarize zipcode.main.zipcodes # カラム統計(全件スキャン)
queria sql "SELECT * FROM zipcode.main.zipcodes LIMIT 10"
queria sql "SELECT * FROM zipcode.main.zipcodes" --out zipcodes.parquetテーブルは <dataset>.<schema>.<table> で参照します。参照したデータセットは自動的に ATTACH されます。
API トークン
トークンなしでも使えますが、レートリミットがあります。https://queria.io/profile/api-keys で発行したトークンを登録すると上限が上がります:
queria auth set-token <token> # ~/.config/queria/config.toml に保存
queria auth status # 確認--token オプションや環境変数 QUERIA_TOKEN でも指定できます(この順で優先)。
Python API
import queria
with queria.connect() as conn:
conn.sql("SELECT * FROM catalog.main.mart_datasets").show()MCP サーバー
Claude Code / Claude Desktop / Cursor などの MCP クライアントから使えます:
{
"mcpServers": {
"queria": {
"command": "uvx",
"args": ["--from", "queria[mcp]", "queria", "mcp"]
}
}
}ドキュメント
License
MIT
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