What runtime environment does Datax MCP Server require?
It requires Python with `uv` and dependencies such as `requests` and `fastmcp`.
@haobosang
基本情報
Datax is an intelligent data analysis tool designed for the AI era, enabling users to interact with data through natural language to effortlessly gain deep business insights and predictive analytics.
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": {
"datax-mcp-server": {
"command": "uv",
"args": [
"init"
]
}
}
}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。
Datax MCP Server is an intelligent data analysis tool designed for the AI era, enabling users to interact with data through natural language to effortlessly gain deep business insights and predictive analytics.
Install and configure using uv: initialize a project, create a virtual environment, add dependencies like requests and fastmcp, then run the server with uv run server.py.
It requires Python with `uv` and dependencies such as `requests` and `fastmcp`.
After installing dependencies, run `uv run server.py` in your project directory.
The README mentions adding `requests` as a dependency, suggesting it can make HTTP requests, but no specific API is named.

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