What runtime environment does Datax MCP Server require?
It requires Python with `uv` and dependencies such as `requests` and `fastmcp`.
@haobosang
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"datax-mcp-server": {
"command": "uv",
"args": [
"init"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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