What runtime environment does Datax MCP Server require?
It requires Python with `uv` and dependencies such as `requests` and `fastmcp`.
@haobosang
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"datax-mcp-server": {
"command": "uv",
"args": [
"init"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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